Knowledge Collection from Cricket Articles in English Newspapers
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Sentimental analysis is a hugely popular application of natural language processing. It has various uses and is mostly used to classify opinions. In this new age world AI and NLP has forced its way into every industry. The aim of our project is to use sentimental analysis in the domain of sports especially cricket. Based on a repository of positive and negative statements from newspaper articles we try to use them to perform analysis of players especially performance and popularity analysis. We also aim to create player profile pages which helps in structured and deeper analysis of cricket player.
Srivastava R, Agarwal S, Garg D, Patni JC. Capital market forecasting by using sentimental analysis. In2016 2nd International Conference on Next Generation Computing Technologies (NGCT) 2016 Oct 14 (pp. 09-12). IEEE
Singh N, Tripathi A, Kumar V. Production Prediction based on News using Sentimental Analysis. In2019 4th International Conference on Information Systems and Computer Networks (ISCON) 2019 Nov 21 (pp. 32-36). IEEE.
Kim J, Seo J, Lee M, Seok J. Stock Price Prediction Through the Sentimental Analysis of News Articles. In2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN) 2019 Jul 2 (pp. 700-702). IEEE.
Khatri SK, Srivastava A. Using sentimental analysis in prediction of stock market investment. In2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) 2016 Sep 7 (pp. 566-569). IEEE.
Jagdish Chandra Patni, Ravi Tomar, Mahendra Singh Aswal, Ankur Dumka. Prediction Based On Sentiment Analysis. International journal of Current Engineering and Scientific Research Vol 4, Issue 10, Oct 2017
