社交媒体中的情感分析和攻击性语言检测

M. Shiny
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引用次数: 0

摘要

情感分析是一个研究领域,专注于找出如何提取、识别或以其他方式描述书面文本单位的情感。情感分析中最常见的任务之一是发现一个人的情感极性。现在网上有很多印度语的博客、推文和评论。印度语言中的情感分析是一个相对较新的领域,这方面的研究才刚刚开始。社交媒体上有很多令人反感的内容,这让企业和政府机构感到担忧。本文介绍了社交媒体中情感分析和攻击性语言检测的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sentiment analysis and offensive language detection in social media
Sentiment Analysis is a field of study that focuses on figuring out how to extract, identify, or otherwise describe emotions in units of written text. One of the most common tasks in sentiment analysis is finding the polarity of a person's feelings. There are many blog posts, tweets, and comments in Indian languages online these days. Sentiment analysis in Indian languages is a relatively new field, and research in this area is just beginning. There is a lot of offensive content on social media, which is a worry for businesses and government agencies. This paper presents the methodology of sentiment analysis and offensive language detection in social media.
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