Abstract
Today, the web has become a mandatory platform to express users' opinions, emotions and feelings about various events. Every person using his smartphone can give his opinion about the purchase of a product, the occurrence of an accident, the occurrence of a new disease, etc. in blogs and social networks such as (Twitter, WhatsApp, Telegram and Instagram) register. Therefore, millions of comments are recorded daily and it creates a huge volume of unstructured text data that can extract useful knowledge from this type of data by using natural language processing methods. Sentiment analysis is one of the important applications of natural language processing and machine learning, which allows us to analyze the sentiments of comments and other textual information recorded by web users. Therefore, the analysis of sentiments, approaches and challenges in this field will be explained in the following.
Abstract (translated)
当今,互联网已经成为表达用户对各种事件的意见、情感和感受的必须平台。使用手机博客和社交媒体(如推特、WhatsApp、Telegram和Instagram)注册的每个人都可以在这些平台上表达对产品购买、事故发生、新疾病爆发等事件的意见。因此,每天有数百万条评论被记录,形成了大量未结构化的文本数据,可以利用自然语言处理方法从这些数据中提取有用的知识。情感分析是自然语言处理和机器学习的一个重要应用,使我们能够分析Web用户记录的评论和其他文本信息的情感。因此,将在后面解释该领域的情感分析、方法和挑战。
URL
https://arxiv.org/abs/2303.11176
