A Meticulous Critique on Prevailing Techniques of Aspect-Level Sentiment Analysis

Alfiva Shama, Sudhir N. Dhage
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Abstract

Sentiment Analysis (SA) refers to mining emotional value from an array of words to determine the notion, perspective and behavior an individual may have towards an entity. Personnel conducting online business face the truth of their products and services which eventually helps them to improve their strategies of selling and maximizing profits. Consumers get a true feedback of any product or service they wish to avail which eventually yields sophisticated decision making. In this paper, a profound review of the most current mechanisms deployed using varied approaches has been stated. The main aim of this survey is to give a satisfied understanding of the latest updates in the field of sentiment analysis especially highlighting the recent trends under aspect based sentiment analysis.
对主流方面级情感分析技术的细致批判
情感分析是指从一系列词汇中挖掘情感价值,以确定个人对一个实体的观念、观点和行为。从事网上业务的人员面对他们的产品和服务的真相,最终帮助他们改善他们的销售策略和利润最大化。消费者得到他们想要的任何产品或服务的真实反馈,最终产生复杂的决策。在本文中,对使用各种方法部署的最新机制进行了深刻的回顾。本调查的主要目的是对情感分析领域的最新动态有一个满意的理解,特别是强调基于方面的情感分析的最新趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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