The ability to analyse online user-generated content related to sentiments (eg, thoughts and
opinions) on products or policies has become a de-facto skillset for many companies and …

对文本情感分析的研究现状与进展进行了总结. 首先将文本情感分析归纳为3 项主要任务,
即情感信息抽取, 情感信息分类以及情感信息的检索与归纳, 并对它们进行了细致的介绍和分析; …

Opinion mining is an interesting area of research because of its applications in various
fields. Collecting opinions of people about products and about social and political events …

Textual information in the world can be broadly categorized into two main types: facts and
opinions. Facts are objective expressions about entities, events and their properties …

An important part of our information-gathering behavior has always been to find out what
other people think. With the growing availability and popularity of opinion-rich resources …

Abstract which are expressed in newsgroup posts, review sites, and elsewhere. As a result,
the problem of “opinion mining” has seen increasing attention over the past three years from …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Recognizing polarity requires a list of polar words and phrases. For the purpose of building
such lexicon automatically, a lot of studies have investigated (semi-) unsupervised method …

Although research in other languages is increasing, much of the work in subjectivity analysis
has been applied to English data, mainly due to the large body of electronic resources and …

In this paper we present a framework to derive sentiment lexicons in a target language by
using manually or automatically annotated data available in an electronic resource rich …