情感分类的今天趋势

V. Phu, Vo Thi Ngoc Tran
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引用次数: 0

摘要

情感分类已经被研究了很多年,因为它在日常生活的许多不同领域,如政治活动、商品生产和商业活动中都有许多重要的贡献。多年来,情感分析的方法有很多种,如机器学习方法、基于词典的方法等。当今情感分类的趋势是:(1)处理大量大数据集,缩短执行时间;(2)具有较高的准确性;(3)灵活、容易地集成到许多小型机器或许多不同的方法中。我们将更详细地介绍每一类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Today Tendency of Sentiment Classification
Sentiment classification has already been studied for many years because it has had many crucial contributions to many different fields in everyday life, such as in political activi -ties, commodity production, and commercial activities. There have been many kinds of the sentiment analysis such as machine learning approaches, lexicon-based approaches, etc., for many years. The today tendency of the sentiment classification is as follows: (1) Processing many big data sets with shortening execution times (2) Having a high accuracy (3) Integrating flexibly and easily into many small machines or many different approaches. We will present each category in more details.
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