推特情绪分析不同类型的犯罪

B. Prathap, K. Ramesha
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引用次数: 11

摘要

像推特这样的在线社交媒体发挥着至关重要的作用,因为它有助于跟踪社交媒体数据的时空与犯罪率。随着社交媒体用户的快速发展,情感分析已经成为决策的一个很好的信息来源。Twitter是最受欢迎的交流社交网站之一,也是信息的主要来源。超过1.5亿用户每天发布超过5亿条140字的推文。推文已经成为使用情感分析进行产品推荐的基础。本文解释了分析用户对活跃用户发布的特定犯罪事件tweet的情绪的方法。这样得到的结果会让你知道公众对犯罪事件的看法的变化,无论是积极的还是消极的,并找出对不同类型犯罪的情绪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Twitter Sentiment for Analysing Different Types of Crimes
Online social media like a twitter play a vital role as it helps to track the Spatial-temporal on social media data with respect crime rate. With the very fast evolving of users in social media, sentimental analysis has become an excellent source of information in decision making. Twitter is one of the most popular social networking site for communication and a primary source of information. More than 150 million users publish above 500 million 140 character TWEETS each day. Tweets have become a basis for product recommendation using sentimental analysis. This paper explains the approach for analyzing the sentiments of the users about a particular crime event tweets posted by the active users. The results so obtained will let you know about the change in the public opinion about the crime events whether it’s positive or negative and to find out emotions on different types of crimes.
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