社交媒体情感识别的方法论回顾:一种情感分析方法

Madhavi S. Darokar, A. D. Raut, V. Thakre
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引用次数: 2

摘要

如今,情感识别及其分析已经成为一个非常流行的话题,因为世界上大多数人都以各种应用程序的形式使用社交媒体,如Twitter、Facebook、Whatsapp、Instagram等等。此外,还有相当多的用户,他们通过亚马逊、Flipkart等在线购物网站购买不同的日常生活产品,消费者购买产品的在线行为和情绪是电子商务行业非常感兴趣的。根据人工智能领域的发展,出现了各种算法,通过各种工具编程分析用户行为,捕捉用户情绪,分析市场趋势,提高利润百分比。此外,人工智能领域的发展速度也非常快。现在可以注意到这一点,以“深度学习”的形式,其中有非常大量的数据可用,决策过程非常关键。如果大量的数据是可访问的,“机器学习”算法是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodological Review of Emotion Recognition for Social Media: A Sentiment Analysis Approach
Emotion recognition and their analysis have become a very popular topic nowadays, as most of the world using the social media in the form of various applications such as Twitter, Facebook, Whatsapp, Instagram and many more. Also, there are quite a large number of users, who buy the different daily life products through the online shopping websites like Amazon, Flipkart where the online behaviors and emotions of the consumer buying the product is of great interest to the e-commerce industry. In accordance to, the development in the artificial intelligence field, there exist various algorithms that are programmed to analyze the user behavior and trap their emotions through various tools for analyzing the market trends and to increase the percentage of profit. Furthermore, a prolific rate of development is observed in the AI field. This now can be noticed presently, in the form of ‘Deep learning’ where a very huge amount of data is available and the decision-making process is very crucial. If the tremendous amount of data is accessible, “Machine Learning” algorithms are of utmost importance.
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