基于粒子群优化的电影推荐系统

Hriday Banerjee, Ratul Dey, Sukanya Chatterjee, Avijit Chakraborty, Shilpa Pareek, Somen Nayak, Ashutosh Gautam, Himadri Nath Saha
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引用次数: 4

摘要

情感分析(或意见挖掘)被定义为寻找作者对特定实体的意见的任务。人们的决策过程受到思想领袖和普通民众形成的意见的影响。当一个人想在网上购买一件产品时,他或她通常会首先搜索其他人对各种产品的评论和意见。情感分析是计算机科学中最热门的研究领域之一。关于这个话题的文章已经超过了7000篇。数百家初创企业正在开发情感分析解决方案,SAS和SPSS等主要统计软件包包括专门的情感分析模块。如今,从Twitter、Facebook、留言板、博客和用户论坛等社交媒体上可以看到“情绪”的爆炸式增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Movie recommendation system using particle swarm optimization
Sentiment analysis (or opinion mining) is defined as the task of finding the opinions of authors about specific entities. The decision-making process of people is affected by the opinions formed by thought leaders and ordinary people. When a person wants to buy a product online he or she will typically start by searching for reviews and opinions written by other people on the various offerings. Sentiment analysis is one of the hottest research areas in computer science. Over 7,000 articles have been written on the topic. Hundreds of start-ups are developing sentiment analysis solutions and major statistical packages such as SAS and SPSS include dedicated sentiment analysis modules. There is a huge explosion today of ‘sentiments’ available from social media including Twitter, Facebook, message boards, blogs, and user forums.
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