Frontiers in Operations: News Event-Driven Forecasting of Commodity Prices

References

• Abadi M, Agarwal A, Barham P (2015) TensorFlow: Large-scale machine learning on heterogeneous systems. Accessed February 24, 2024, https://www.tensorflow.org/.Google Scholar
• Acharya N (2015) West Bengal plans freight subsidy for potato export. Accessed February 24, 2024, https://www.business-standard.com/article/markets/west-bengal-plans-freight-subsidy-for-potato-export-115031400437_1.html.Google Scholar
• Agarwal K (2019) Will anger over low potato prices harm BJP in UP? Accessed February 24, 2024, https://thewire.in/agriculture/bjp-up-elections-2019-potato-prices.Google Scholar
• Amadeo K (2021) Why food prices are rising, recent trends, and 2021 forecast. Accessed February 24, 2024, https://www.thebalance.com/why-are-food-prices-rising-causes-of-food-price-inflation-3306099.Google Scholar
• Assefa TT, Meuwissen MP, Oude Lansink AG (2015) Price volatility transmission in food supply chains: A literature review. Agribusiness 31(1):3–13.Crossref, Google Scholar
• Atefeh F, Khreich W (2015) A survey of techniques for event detection in Twitter. Computational Intelligence 31(1):132–164.Crossref, Google Scholar
• Ba CT, Choquet C, Interdonato R, Roche M (2022) Explaining food security warning signals with YouTube transcriptions and local news articles. Proc. 2022 ACM Conf. Inform. Tech. Social Good (Association for Computing Machinery, New York), 315–322.Google Scholar
• Bagozzi BE, Schrodt PA (2012) The dimensionality of political news reports. Proc. Eur. Political Sci. Assoc. Meetings, Berlin.Google Scholar
• Bagri NT (2013) Food and fuel prices push Indian inflation higher. The New York Times (November 14), https://www.nytimes.com/2013/11/15/business/food-and-fuel-prices-push-indian-inflation-higher.html.Google Scholar
• Balashankar A, Subramanian L, Fraiberger SP (2023) Predicting food crises using news streams. Sci. Adv. 9(9):eabm3449.Crossref, Google Scholar
• Balashankar A, Chakraborty S, Fraiberger S, Subramanian L (2019) Identifying predictive causal factors from news streams. Proc. 2019 Conf. Empirical Methods Natural Language Processing 9th Internat. Joint Conf. Natural Language Processing (EMNLP-IJCNLP) (Association for Computational Linguistics, Kerrville, TX), 2338–2348.Google Scholar
• Ban GY, Rudin C (2019) The big data newsvendor: Practical insights from machine learning. Oper. Res. 67(1):90–108.Link, Google Scholar
• Barbaglia L, Consoli S, Manzan S (2023) Forecasting with economic news. J. Bus. Econom. Statist. 41(3):708–719.Crossref, Google Scholar
• Bell A (1991) The Language of News Media (Blackwell, Oxford, UK).Google Scholar
• Bellemare MF (2015) Rising food prices, food price volatility, and social unrest. Amer. J. Agricultural Econom. 97(1):1–21.Crossref, Google Scholar
• Bengio Y, Goodfellow I, Courville A (2017) Deep Learning, vol. 1 (MIT Press, Cambridge, MA).Google Scholar
• Bera S (2015) Wheat output may decline by up to 5. Accessed February 24, 2024, https://www.livemint.com/Politics/XoPy0NSXUgfByctqESAQAM/Indias-2015-wheat-output-could-fall-by-45-says-farmmini.html.Google Scholar
• Berling P, Martínez-de Albéniz V (2011) Optimal inventory policies when purchase price and demand are stochastic. Oper. Res. 59(1):109–124.Link, Google Scholar
• Bhatia S, Lassmann B, Cohn E, Desai AN, Carrion M, Kraemer MU, Herringer M, et al. (2021) Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread. NPJ Digital Medicine 4(1):73.Crossref, Google Scholar
• Birthal P, Negi A, Joshi P (2019) Understanding causes of volatility in onion prices in India. J. Agribusiness Developing Emerging Econom. 9(3):255–275.Crossref, Google Scholar
• Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J. Machine Learn. Res. 3:993–1022.Google Scholar
• Bogmans C, Pescatori A, Prifti E (2021) Four facts about soaring consumer food prices. IMF Blog (June 24), https://blogs.imf.org/2021/06/24/four-facts-about-soaring-consumer-food-prices/.Google Scholar
• Boone T, Ganeshan R, Hicks RL, Sanders NR (2018) Can Google trends improve your sales forecast? Production Oper. Management 27(10):1770–1774.Crossref, Google Scholar
• Brockwell PJ, Davis RA (2002) Introduction to Time Series and Forecasting, 2nd ed. (Springer, Berlin).Crossref, Google Scholar
• Burkart N, Huber MF (2021) A survey on the explainability of supervised machine learning. J. Artificial Intelligence Res. 70:245–317.Crossref, Google Scholar
• Business Standard (2015) Maggi ban: Flour millers recall maida supplied to nestle. Accessed February 24, 2024, https://www.business-standard.com/article/companies/maggi-ban-flour-millers-recall-maida-supplied-to-nestle-115061600725_1.html.Google Scholar
• Bybee L, Kelly BT, Manela A, Xiu D (2021) Business news and business cycles. NBER Working Paper No. 29344, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Carbonneau R, Laframboise K, Vahidov R (2008) Application of machine learning techniques for supply chain demand forecasting. Eur. J. Oper. Res. 184(3):1140–1154.Crossref, Google Scholar
• Caselli T, Vossen P (2017) The event storyline corpus: A new benchmark for causal and temporal relation extraction. Proc. Events Stories News Workshop (Association for Computational Linguistics, Kerrville, TX), 77–86.Google Scholar
• Chakraborty S, Subramanian L (2016) Extracting signals from news streams for disease outbreak prediction. 2016 IEEE Global Conf. Signal Inform. Processing (GlobalSIP) (IEEE, Piscataway, NJ), 1300–1304.Google Scholar
• Chakraborty S, Venkataraman A, Jagabathula S, Subramanian L (2016) Predicting socio-economic indicators using news events. KDD 2016 Proc. 22nd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 1455–1464.Google Scholar
• Chambers N (2013) Event schema induction with a probabilistic entity-driven model. Proc. 2013 Conf. Empirical Methods Natural Language Processing (Association for Computational Linguistics, Kerrville, TX), 1797–1807.Google Scholar
• Chambers N, Jurafsky D (2011) Template-based information extraction without the templates. Proc. 49th Annual Meeting Assoc. Comput. Linguistics Human Language Tech. Vol. 1 (Association for Computing Machinery, New York), 976–986.Google Scholar
• Che Z, Purushotham S, Cho K, Sontag D, Liu Y (2018) Recurrent neural networks for multivariate time series with missing values. Sci. Rep. 8(1):1–12.Crossref, Google Scholar
• Cheung JCK, Poon H, Vanderwende L (2013) Probabilistic frame induction. Proc. 2013 Conf. North Amer. Chapter Assoc. Comput. Linguistics Human Language Tech. (Association for Computational Linguistics, Kerrville, TX), 837–846.Google Scholar
• Cho K, van Merriënboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, Bengio Y (2014) Learning phrase representations using RNN encoder–decoder for statistical machine translation. Moschitti A, Pang B, Daelemans W, eds. Proc. 2014 Conf. Empirical Methods Natural Language Processing (EMNLP) (Association for Computational Linguistics, Kerrville, TX), 1724–1734.Google Scholar
• Choubey PK, Raju K, Huang R (2018) Identifying the most dominant event in a news article by mining event coreference relations. Proc. 2018 Conf. North Amer. Chapter Assoc. Computat. Linguistics Human Language Tech., vol. 2 (Association for Computational Linguistics, Kerrville, TX), 340–345.Google Scholar
• CNBC-TV18 (2019) Onion prices, the slayer of many governments, on the boil again as elections approach. Accessed February 24, 2024, https://www.cnbctv18.com/agriculture/onion-prices-the-slayer-of-manygovernments-on-the-boil-again-as-elections-approach-4412221.htm.Google Scholar
• Cortazar G, Millard C, Ortega H, Schwartz ES (2019) Commodity price forecasts, futures prices, and pricing models. Management Sci. 65(9):4141–4155.Link, Google Scholar
• Cui R, Gallino S, Moreno A, Zhang DJ (2018) The operational value of social media information. Production Oper. Management 27(10):1749–1769.Crossref, Google Scholar
• De Janvry A, Sadoulet E (2009) The impact of rising food prices on household welfare in India. UC Berkeley: Institute for Research on Labor and Employment. Retrieved February 24, https://escholarship.org/uc/item/7xj9n1qq.Google Scholar
• Denil M, Demiraj A, De Freitas N (2015) Extraction of salient sentences from labelled documents. Preprint, submitted December 21, https://arxiv.org/abs/1412.6815.Google Scholar
• Deuskar N (2020) Delhi election: How onion prices led to Swaraj govt’s defeat in 1998 — The last time BJP held reigns in national capital. https://www.moneycontrol.com/news/politics/delhi-electionhow-onion-prices-led-to-swaraj-govts-defeat-in-1998-the-last-time-bjp-held-reignsin-national-capital-4897921.html.Google Scholar
• Dev SM (2011) Rising food crisis and financial crisis in India: Impact on women and children and ways of tackling the problem, Indira Gandhi Institute of Development Research, Mumbai Working Papers 2011-003, Indira Gandhi Institute of Development Research, Mumbai, India.Google Scholar
• Digital Green (2020) Personal communication, August 2020. Accessed February 24, 2024, https://www.digitalgreen.org/.Google Scholar
• Ding X, Zhang Y, Liu T, Duan J (2014) Using structured events to predict stock price movement: An empirical investigation. Proc. 2014 Conf. Empirical Methods Natural Language Processing (EMNLP) (Association for Computational Linguistics, Kerrville, TX), 1415–1425.Google Scholar
• Ding X, Zhang Y, Liu T, Duan J (2015) Deep learning for event-driven stock prediction. Proc. 24th Internat. Conf. Artificial Intelligence (AAAI Press, Palo Alto, CA), 2327–2333.Google Scholar
• Ding X, Zhang Y, Liu T, Duan J (2016) Knowledge-driven event embedding for stock prediction. Yuji M, Rashmi P, eds. 2016, 26th Int. Conf. Comput. Linguistics: Tech. Papers (The COLING 2016 Organizing Committee, Osaka, Japan), 2133–2142.Google Scholar
• Doddington G, Mitchell A, Przybocki M, Ramshaw L, Strassel S, Weischedel R (2004) The automatic content extraction (ACE) program tasks, data, and evaluation. Proc. Fourth Internat. Conf. Language Resources Evaluation (LREC’04) (European Language Resources Association (ELRA), Lisbon, Portugal).Google Scholar
• Dutta R (2014) Late monsoon starts Indian farmer’s ‘journey to hell’. Accessed February 24, 2024, https://www.reuters.com/article/us-india-monsoon-farmers/late-monsoon-starts-indian-farmers-journey-tohell-idUKKBN0FP03720140720.Google Scholar
• Economic Times (2014) Itc, Cargill and other private companies increase wheat procurement. (May 6), https://economictimes.indiatimes.com/markets/commodities/itc-cargill-and-other-privatecompanies-increase-wheat-procurement/articleshow/34709003.cms.Google Scholar
• Economic Times (2015) West Bengal’s potato farmers in trouble as other states grow their own. (March 20), https://economictimes.indiatimes.com/markets/commodities/west-bengals-potato-farmersin-trouble-as-other-states-grow-their-own/articleshow/46628935.cms.Google Scholar
• Economist (2015) Of rainfall and price rises. (June 25), https://www.economist.com/finance-and-economics/2015/06/25/of-rainfall-and-price-rises.Google Scholar
• Feuerriegel S, Gordon J (2019) News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions. Eur. J. Oper. Res. 272(1):162–175.Crossref, Google Scholar
• Frontline (2015) Harvest of tragedy. (April 29), https://frontline.thehindu.com/the-nation/harvest-of-tragedy/article7150453.ece.Google Scholar
• Gidofalvi G (2001) Using news articles to predict stock price movements. Technical report, Department of Computer Science and Engineering, University of California, San Diego.Google Scholar
• Goel A, Gutierrez GJ (2011) Multiechelon procurement and distribution policies for traded commodities. Management Sci. 57(12):2228–2244.Link, Google Scholar
• Grafton RQ, Daugbjerg C, Qureshi ME (2015) Toward food security by 2050. Food Security 7(2):179–183.Crossref, Google Scholar
• Gro Intelligence (2016) When onion prices bring Indians to tears. Accessed February 24, 2024, https://gro-intelligence.com/insights/articles/onion-prices-in-india.Google Scholar
• Hagenau M, Liebmann M, Neumann D (2013) Automated news reading: Stock price prediction based on financial news using context-capturing features. Decision Support Systems 55(3):685–697.Crossref, Google Scholar
• Haksöz Ç, Seshadri S (2007) Supply chain operations in the presence of a spot market: A review with discussion. J. Oper. Res. Soc. 58(11):1412–1429.Crossref, Google Scholar
• Headey D, Fan S (2008) Anatomy of a crisis: The causes and consequences of surging food prices. Agricultural Econom. 39(s1):375–391.Crossref, Google Scholar
• Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput. 9(8):1735–1780.Crossref, Google Scholar
• Hogenboom F, Frasincar F, Kaymak U, De Jong F (2011) An overview of event extraction from text. Erp M, van Hage WR, van Hollink L, Jameson A, Troncy R, eds. Proc. Detection, Representation, Exploitation Events Semantic Web (DeRiVE 2011), Workshop Conjunction 10th Internat. Semantic Web Conf. 2011 (ISWC 2011) (CEUR-WS.org, Aachen, Germany), 48–57.Google Scholar
• Hu Z, Liu W, Bian J, Liu X, Liu TY (2018) Listening to chaotic whispers: A deep learning framework for news-oriented stock trend prediction. Proc. Eleventh ACM Internat. Conf. Web Search Data Mining (ACM, New York), 261–269.Google Scholar
• India.com (2019) As onion price rise to all-time high, people resort to robbery of kitchen staple in UP, West Bengal. (December 10), https://www.india.com/news/india/as-onion-price-rise-to-all-time-high-peopleresort-to-robbery-of-kitchen-staple-in-up-west-bengal-3873597/.Google Scholar
• India Today (2015) Farmers face heavy losses due to untimely rainfall. (March 3), https://www.indiatoday.in/mail-today/story/farmers-face-heavy-losses-due-to-untimely-rainfall-242737-2015-02-13.Google Scholar
• India Today (2015a) The great Indian dal scam revealed. (November 24), https://www.indiatoday.in/india/story/the-greatindian-dal-scam-revealed-273540-2015-11-23.Google Scholar
• India Today (2015b) Telangana: Trucks go off road, goods movement hit. (June 24), https://www.indiatoday.in/india/story/telangana-trucks-go-off-the-road-indefinite-strike-259348-2015-06-24.Google Scholar
• International Trade Administration (2022) Food and agriculture value chain. Accessed February 24, 2024, https://www.trade.gov/country-commercial-guides/india-food-and-agriculture-value-chain.Google Scholar
• Jagannathan R (2014) How to turn FCI from food hoarder to food manager – and save tonnes of money. (December 21), https://www.firstpost.com/business/economy/how-to-turn-fci-from-food-hoarder-to-food-manager-and-save-tonnes-of-money-1985065.html.Google Scholar
• Kalamara E, Turrell A, Redl C, Kapetanios G, Kapadia S (2022) Making text count: Economic forecasting using newspaper text. J. Appl. Econometrics 37(5):896–919.Crossref, Google Scholar
• Kang D, Gangal V, Lu A, Chen Z, Hovy E (2017) Detecting and explaining causes from text for a time series event. Palmer M, Hwa R, Riedel S, eds. Proc. 2017 Conf. Empirical Methods Natural Language Processing (Association for Computational Linguistics Copenhagen, Denmark), 2758–2767.Google Scholar
• Kawamae N (2011) Trend analysis model: Trend consists of temporal words, topics, and timestamps. Proc. Fourth ACM Internat. Conf. Web Search Data Mining (ACM, New York), 317–326.Google Scholar
• Kim J, Ahn I (2021) Infectious disease outbreak prediction using media articles with machine learning models. Sci. Rep. 11(1):1–13.Google Scholar
• KNN (2014) Curbs on potato shipments; minimum export price fixed at USD 450. (June 2), https://knnindia.co.in/news/newsdetails/economy/curbs-on-potato-shipments-minimum-export-price-fixed-at-usd-450.Google Scholar
• Kurawarwala AA, Matsuo H (1996) Forecasting and inventory management of short life-cycle products. Oper. Res. 44(1):131–150.Link, Google Scholar
• Lafferty JD, McCallum A, Pereira FC (2001) Conditional random fields: Probabilistic models for segmenting and labeling sequence data. Proc. Eighteenth Internat. Conf. Machine Learn. (Morgan Kaufmann Publishers Inc., San Francisco), 282–289.Google Scholar
• Larsen VH, Thorsrud LA (2019) The value of news for economic developments. J. Econometrics 210(1):203–218.Crossref, Google Scholar
• Le Q, Mikolov T (2014) Distributed representations of sentences and documents. Xing EP, Jebara T, eds. Internat. Conf.Machine Learn., Proceedings of Machine Learning Research, vol. 22 (PMLR, New York), 1188–1196.Google Scholar
• Levi R, Singhvi S, Zheng Y (2022) Artificial shortage in agricultural supply chains. Manufacturing Service Oper. Management 24(2):746–765.Link, Google Scholar
• Li J, Chen X, Hovy E, Jurafsky D (2016) Visualizing and understanding neural models in NLP. Knight K, Nenkova A, Rambow O, eds. Proc. 2016 Conf. North American Chapter Assoc. Comput. Linguistics Human Language Tech (Association for Computational Linguistics, Kerrville, TX), 681–691.Google Scholar
• Li X, Xie H, Chen L, Wang J, Deng X (2014) News impact on stock price return via sentiment analysis. Knowledge-Based Systems 69:14–23.Crossref, Google Scholar
• Li XY, Li X, Fan Z, Mi L, Kandakji T, Song Z, Li D, Song XP (2022) Civil war hinders crop production and threatens food security in Syria. Nature Food 3(1):38–46.Crossref, Google Scholar
• Liu Q, Cheng X, Su S, Zhu S (2018) Hierarchical complementary attention network for predicting stock price movements with news. Proc. 27th ACM Internat. Conf. Inform. Knowledge Management (ACM, New York), 1603–1606.Google Scholar
• Madaan L, Sharma A, Khandelwal P, Goel S, Singla P, Seth A (2019) Price forecasting & anomaly detection for agricultural commodities in India. Proc. 2nd ACM SIGCAS Conf. Comput. Sustainable Soc. (ACM, New York), 52–64.Google Scholar
• Mahajan S, Sousa-Poza A, Datta K (2015) Differential effects of rising food prices on Indian households differing in income. Food Security 7(5):1043–1053.Crossref, Google Scholar
• Malhotra P, Vig L, Shroff G, Agarwal P (2015) Long short term memory networks for anomaly detection in time series. ESANN 2015 Proc., Eur. Sympos. Artificial Neural Networks, Comput. Intelligence Machine Learning, Bruges, Belgium, 22–24.Google Scholar
• Mandl C (2019) Optimal procurement and inventory control in volatile commodity markets. PhD thesis, Technische Universität, Munich, Germany.Google Scholar
• Mandl C, Minner S (2023) Data-driven optimization for commodity procurement under price uncertainty. Manufacturing Service Oper. Management 25(2):371–390.Link, Google Scholar
• Mandl C, Nadarajah S, Minner S, Gavirneni S (2022) Data-driven storage operations: Cross-commodity backtest and structured policies. Production Oper. Management 31(6):2438–2456.Crossref, Google Scholar
• Manning CD, Raghavan P, Schütze H (2008) Introduction to Information Retrieval (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• McLain S (2013) India’s onion prices play pivotal role in election. Accessed February 24, 2024, https://www.wsj.com/articles/SB10001424127887324906304579038671391636800.Google Scholar
• Mikolov T, Sutskever I, Chen K, Corrado GS, Dean J (2013) Distributed representations of words and phrases and their compositionality. Burges CJ, Bottou L, Welling M, Ghahramani Z, Weinberger KQ, eds. Adv. Neural Inform. Processing Systems, Distributed Representations of Words and Phrases and their Compositionality, vol. 26 (Curran Associates, Inc., Red Hook, NY), 3111–3119.Google Scholar
• Ming F, Wong F, Liu Z, Chiang M (2014) Stock market prediction from WSJ: Text mining via sparse matrix factorization. 2014 IEEE Internat. Conf. Data Mining (IEEE, Piscataway, NJ), 430–439.Google Scholar
• Mittal S, Hariharan VK, Subash S (2018) Price volatility trends and price transmission for major staples in India. Agricultural Econom. Res. Rev. 31(1):65–74.Crossref, Google Scholar
• Mukherjee S (2014) Middlemen responsible for food inflation: Ram Vilas Paswan. Accessed February 24, 2024, https://www.business-standard.com/article/economy-policy/middlemen-responsible-for-food-inflation-ram-vilas-paswan-114081100014_1.html.Google Scholar
• Nassirtoussi AK, Aghabozorgi S, Wah TY, Ngo DCL (2014) Text mining for market prediction: A systematic review. Expert Systems Appl. 41(16):7653–7670.Crossref, Google Scholar
• New York Times (2013) Rising onion prices tempt highway robbers in India. Accessed February 24, 2024, https://india.blogs.nytimes.com/2013/08/21/rising-onion-prices-tempt-highway-robbers-in-india/.Google Scholar
• Nibber GS (2021) Punjab to put a cap on per acre yield of paddy. Hindustan Times (October 6), https://www.hindustantimes.com/cities/chandigarh-news/punjab-to-put-a-cap-on-per-acre-yieldof-paddy-101633464079686.html.Google Scholar
• Pascanu R, Mikolov T, Bengio Y (2013) On the difficulty of training recurrent neural networks. Dasgupta S McAllester D, eds. Internat. Conf. Machine Learn., Proceedings of Machine Learning Research, vol. 28(3) (PMLR, New York), 1310–1318.Google Scholar
• Paul RK, Saxena R, Chaurasia S, Zeeshan, Rana S (2015) Examining export volatility, structural breaks in price volatility and linkages between domestic and export prices of onion in India. Agricultural Econom. Res. Rev. 28:101–116.Crossref, Google Scholar
• Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, et al. (2011) Scikit-learn: Machine learning in Python. J. Machine Learn. Res. 12(85):2825–2830.Google Scholar
• Pindyck RS (2004) Volatility and commodity price dynamics. J. Futures Markets Futures Options Other Derivative Products 24(11):1029–1047.Crossref, Google Scholar
• Pons N (2011) Food and Prices in India: Impact of Rising Food Prices on Welfare (Centre De Sciences Humaines, Delhi, India).Google Scholar
• Raka S, Ramesh C (2017) Understanding the recurring onion price shocks: Revelations from production-trade-price linkages. Policy paper, National Centre for Agricultural Economics and Policy Research, New Delhi, India, xvii + 56 pp.Google Scholar
• Raleigh C, Choi HJ, Kniveton D (2015) The devil is in the details: An investigation of the relationships between conflict, food price and climate across Africa. Global Environ. Change 32:187–199.Crossref, Google Scholar
• Saha N, Kar A, Kumar P (2020) An investigation on performance of onion price and market arrivals in major Indian markets. J. Agriculture Ecology 9(9):78–82.Crossref, Google Scholar
• Saxena R, Paul RK, Kumar R (2020) Transmission of price shocks and volatility spillovers across major onion markets in India. Agricultural Econom. Res. Rev. 33(1):45–52.Crossref, Google Scholar
• Schumaker RP, Chen H (2009) Textual analysis of stock market prediction using breaking financial news: The AZFin text system. ACM Trans. Inform. Systems 27(2):1–19.Crossref, Google Scholar
• Secomandi N (2015) Merchant commodity storage practice revisited. Oper. Res. 63(5):1131–1143.Link, Google Scholar
• Shahaf D, Guestrin C (2010) Connecting the dots between news articles. Proc. 16th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 623–632.Google Scholar
• Sharma P, Gummagolmath K, Sharma R (2011) Prices of onions: An analysis. Econom. Political Weekly 46(2):22–25.Google Scholar
• Sugar CA, Gareth JM (2003) Finding the number of clusters in a data set: An information theoretic approach. J. Amer. Statist. Assoc. 98(463):750–763.Crossref, Google Scholar
• Syntetos AA, Babai Z, Boylan JE, Kolassa S, Nikolopoulos K (2016) Supply chain forecasting: Theory, practice, their gap and the future. Eur. J. Oper. Res. 252(1):1–26.Crossref, Google Scholar
• Tetlock PC (2007) Giving content to investor sentiment: The role of media in the stock market. J. Finance 62(3):1139–1168.Crossref, Google Scholar
• The Hindu (2015) Rice mill ‘scam’ triggers cag audit. https://www.thehindu.com/news/national/Rice-mill-%E2%80%98scam%E2%80%99-triggers-CAG-audit/article60330346.ece.Google Scholar
• The Hindu Businessline (2020) Onion price falls due to govt action against hoarding. https://www.thehindubusinessline.com/economy/agri-business/onion-price-falls-due-to-govtaction-against-hoarding/article32940468.ece.Google Scholar
• TOI (2008) Infected crop shoots up onion prices. https://timesofindia.indiatimes.com/city/pune/Infectedcrop-shoots-up-onion-prices/articleshow/3910670.cms.Google Scholar
• TOI (2009a) Transport strike, oil crisis push up prices. https://timesofindia.indiatimes.com/city/kolkata/Transport-strike-oil-crisis-push-up-prices/articleshow/3958998.cms.Google Scholar
• TOI (2009b) Onion floods Bhavnagar market. https://timesofindia.indiatimes.com/city/rajkot/Onionfloods-Bhavnagar-market/articleshow/4030814.cms.Google Scholar
• TOI (2009c) Andhra floods and strike fuel vegetable price rise in state. https://timesofindia.indiatimes.com/city/bhubaneswar/Andhra-floods-and-strike-fuel-vegetable-price-rise-in-state/articleshow/5091545.cms.Google Scholar
• TOI (2009d) Veggie prices spike on watery wave. (October 6), https://timesofindia.indiatimes.com/city/bengaluru/Veggie-prices-spike-on-watery-wave/articleshow/5091855.cms.Google Scholar
• TOI (2013a) Rice price plunges by 24. (August 12), https://timesofindia.indiatimes.com/city/bengaluru/rice-priceplunges-by-24-on-bountiful-rain/articleshow/21770742.cms.Google Scholar
• TOI (2013b) Rice export scam: Govt blocks CBI probe, 20 babus go scot-free. (December 24), https://timesofindia.indiatimes.com/india/rice-export-scam-govt-blocks-cbi-probe-20-babusgo-scot-free/articleshow/27811928.cms.Google Scholar
• TOI (2013c) Wheat exports from India to plummet as farmers hoard harvest. (May 22), https://www.livemint.com/Politics/5Ect1st9e2OqQVr4pvAArO/Wheat-exports-from-India-to-plummet-as-farmershoard-harvest.html.Google Scholar
• TOI (2013d) Railways to increase passenger fare, freight tariff by 2 per cent. (October 4), https://timesofindia.indiatimes.com/business/india-business/railways-to-increase-passengerfare-freight-tariff-by-2-per-cent/articleshow/23533196.cms.Google Scholar
• TOI (2013e) Protest against fuel price hike. (September 16), https://timesofindia.indiatimes.com/city/varanasi/protestagainst-fuel-price-hike/articleshow/22619843.cms.Google Scholar
• TOI (2014a) Monsoon delay fails to affect rice procurement. (August 5), https://timesofindia.indiatimes.com/india/monsoon-delay-fails-to-affect-rice-procurement/articleshow/39651919.cms.Google Scholar
• TOI (2014b) Paddy procurement scam probe yet to reach logical conclusion. (February 4), https://timesofindia.indiatimes.com/city/patna/paddy-procurement-scam-probe-yet-to-reachlogical-conclusion/articleshow/29833580.cms.Google Scholar
• TOI (2014c) HC asks state to explain rice ‘scam’. (February 12), https://timesofindia.indiatimes.com/city/patna/hc-asksstate-to-explain-rice-scam/articleshow/30238593.cms.Google Scholar
• TOI (2014d) Mamata Banerjee urges to check potato export. (August 8), https://timesofindia.indiatimes.com/city/kolkata/mamata-banerjee-urges-to-check-potato-export/articleshow/39897577.cms.Google Scholar
• TOI (2014e) Wholesale onion price dips to 5 per kg in Mumbai. (February 9), https://timesofindia.indiatimes.com/business/india-business/wholesale-onion-price-dips-to-5-per-kg-in-mumbai/articleshow/30082568.cms.Google Scholar
• TOI (2015a) FCI stuck with 24m tonnes of poor wheat. (June 29), https://timesofindia.indiatimes.com/india/fcistuck-with-24m-tonnes-of-poor-wheat/articleshow/47857533.cms.Google Scholar
• TOI (2015b) Poor monsoon results in lower rabi cultivation. (December 24), https://timesofindia.indiatimes.com/city/nagpur/Poor-monsoon-results-in-lower-rabi-cultivation/articleshow/50303803.cms.Google Scholar
• TOI (2015c) Government to give subsidy to traders to export potatoes. (March 6), https://timesofindia.indiatimes.com/city/kolkata/government-to-give-subsidy-to-traders-to-export-potatoes/articleshow/46476011.cms.Google Scholar
• TOI (2015d) 5 godowns raided, foodgrains worth over Rs 120cr seized. https://timesofindia.indiatimes.com/city/thane/5-godowns-raided-foodgrains-worth-over-Rs-120cr-seized/articleshow/49500914.cms.Google Scholar
• TOI (2015e) Raids continue, 930 quintals illegal dal stock seized. (October 23), https://timesofindia.indiatimes.com/city/bhubaneswar/Raids-continue-930-quintals-illegal-dal-stock-seized/articleshow/49562079.cms.Google Scholar
• TOI (2015f) Raids on dal mills, godowns continue. (October 26), https://timesofindia.indiatimes.com/city/bhubaneswar/Raids-on-dal-mills-godowns-continue/articleshow/49533170.cms.Google Scholar
• TOI (2015g) Truckers strike soar vegetable prices in Allahabad. https://timesofindia.indiatimes.com/city/allahabad/truckers-strike-soar-vegetable-prices-in-allahabad/articleshow/49237710.cms.Google Scholar
• TOI (2018) Day 4 of transporters’ strike: Potato prices climb as supply falls by 40%. (October 6), http://timesofindia.indiatimes.com/articleshow/65111423.cms.Google Scholar
• Vaca CK, Mantrach A, Jaimes A, Saerens M (2014) A time-based collective factorization for topic discovery and monitoring in news. Proc. 23rd Internat. Conf. World Wide Web (ACM, New York), 527–538.Google Scholar
• Van Dijk TA (2013) News as Discourse (Routledge, New York).Crossref, Google Scholar
• Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser Ł, Polosukhin I (2017) Attention is all you need. Guyon I , Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S, Garnett R, eds. Adv. Neural Inform. Processing Systems 30 (NIPS 2017) (Curran Associates, Inc., Red Hook, NY).Google Scholar
• Virk A (2015) History shows why no politician wants to mess with the onion. The Quint (August 20), https://www.thequint.com/news/india/history-shows-why-no-politician-wants-to-mess-with-the-onion.Google Scholar
• Wang Y, Agichtein E, Benzi M (2012) TM-LDA: Efficient online modeling of latent topic transitions in social media. Proc. 18th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 123–131.Google Scholar
• Weber R (2015) Welfare impacts of rising food prices: Evidence from India. Technical report, International Association of Agricultural Economists, Toronto.Google Scholar
• WorldGrain (2015) Weather issues drop India’s 2014-15 grain production. (September 9), https://www.world-grain.com/articles/5900-weather-issues-drop-india-s-2014-15-grain-production.Google Scholar
• Wu D (2023) Text-based measure of supply chain risk exposure. Management Sci., ePub ahead of print September 19, https://doi.org/10.1287/mnsc.2023.4927.Link, Google Scholar
• Xiao G, Yang N, Zhang R (2015) Dynamic pricing and inventory management under fluctuating procurement costs. Manufacturing Service Oper. Management 17(3):321–334.Link, Google Scholar
• Xie B, Passonneau R, Wu L, Creamer GG (2013) Semantic frames to predict stock price movement. Proc. 51st Annual Meeting Assoc. Comput. Linguistics, Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, vol. 1 (Association for Computational Linguistics, Kerrville, TX), 873–883.Google Scholar
• Xing FZ, Cambria E, Welsch RE (2018) Natural language based financial forecasting: A survey. Artificial Intelligence Rev. 50(1):49–73.Crossref, Google Scholar
• Yarlott WV, Cornelio C, Gao T, Finlayson M (2018) Identifying the discourse function of news article paragraphs. Proc. Workshop Events Stories News 2018 (Association for Computational Linguistics, Kerrville, TX), 25–33.Google Scholar
• Zhang W, Skiena S (2010) Trading strategies to exploit blog and news sentiment. Proc. Internat. AAAI Conf. Web Social Media (AAAI Press, Palo Alto, CA), 375–378.Google Scholar
• Zhu X, Ninh A, Zhao H, Liu Z (2021) Demand forecasting with supply chain information and machine learning: Evidence in the pharmaceutical industry. Production Oper. Management 30(9):3231–3252.Crossref, Google Scholar