Sentiment Analysis Through the Application of Machine Learning Algorithms

Dattatray G. Takale, Aadesh Patil, Shirishkumar Jadhav, Sanika Masram, Shruti Masarkar, Raj Kate, Vivek Patil
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Abstract

Sentiment analysis, also called opinion mining. It is a natural language processing (NLP) task that involves fixing the sentiment tone expressed in a piece of text including a review, tweet, post, comment, or news article, using machine learning algorithms. There are various social networking sites where people express their views, opinions, and emotions freely. All such posts are recorded and analyzed to determine emotions of the people. Present study recovers posts and finds emotions and polarity of posts. To determine emotions and polarity of posts, various techniques are used.
通过应用机器学习算法进行情感分析
情感分析,又称意见挖掘。它是一项自然语言处理(NLP)任务,包括使用机器学习算法修复评论、推特、帖子、评论或新闻文章等文本中所表达的情感基调。在各种社交网站上,人们可以自由地表达自己的观点、意见和情感。所有这些帖子都会被记录和分析,以确定人们的情绪。本研究可恢复帖子并发现帖子的情绪和极性。要确定帖子的情绪和极性,需要使用各种技术。
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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