情感分析在股市投资预测中的应用

2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2016-09-01 DOI:10.1109/ICRITO.2016.7785019

S. Khatri, Ayush Srivastava

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引用次数: 23

摘要

情感分析是最流行的技术之一，广泛应用于各个行业。从用户评论中提取情感用于检测特定公司的用户视图。情感分析可以帮助预测影响股票价格的人们的情绪，从而可以帮助预测实际价格。本文对从Twitter和股票tweets中提取的数据进行情感分析。对数据进行分析，计算用户评论的情绪。这些评论被分为四类，分别是快乐、向上、向下和拒绝。将极性指数与市场数据一起提供给人工神经网络来预测结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using sentimental analysis in prediction of stock market investment

Sentimental Analysis is one of the most popular technique which is widely been used in every industry. Extraction of sentiments from user's comments is used in detecting the user view for a particular company. Sentimental Analysis can help in predicting the mood of people which affects the stock prices and thus can help in prediction of actual prices. In this paper sentimental analysis is performed on the data extracted from Twitter and Stock Twits. The data is analyzed to compute the mood of user's comment. These comments are categorized into four category which are happy, up, down and rejected. The polarity index along with market data is supplied to an artificial neural network to predict the results.

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2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

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