Constructing Domain-Dependent Sentiment Lexicons Automatically for Sentiment Analysis
نویسندگان
چکیده
منابع مشابه
Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus
Most approaches to sentiment analysis requires a sentiment lexicon in order to automatically predict sentiment or opinion in a text. The lexicon is generated by selecting words and assigning scores to the words, and the performance the sentiment analysis depends on the quality of the assigned scores. This paper addresses an aspect of sentiment lexicon generation that has been overlooked so far;...
متن کاملSentiment lexicons
Goals • Gain new insights into how sentiment is expressed lexically. • Begin developing resources that are useful for higher-level classification tasks (phrases, sentences, documents, websites, . . . ). • Explore different philosophies for how to build large sentiment lexicons: – what to classify (strings (with parts-of-speech) (in context) . . . )? – which sentiment categories? – comparatively...
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The purpose of this research carried out within applied linguistics is to consider the dependency of the sentiment lexicon and other sentiment analysis tools on the domain under study. For the experiment, we used the REGEX algorithm including the sentiment lexicon and formal grammar rules applied with the certain priorities. These rules and the corresponding syntactic models are similar to regu...
متن کاملCross-Domain Contextualization of Sentiment Lexicons
The simplicity of using Web 2.0 platforms and services has resulted in an abundance of user-generated content. A significant part of this content contains user opinions with clear economic relevance customer and travel reviews, for example, or the articles of well-known and respected bloggers who influence purchase decisions. Analyzing and acting upon user-generated content is becoming imperati...
متن کاملA Supervised Method for Constructing Sentiment Lexicon in Persian Language
Due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. This problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. Construction of sentiment lexicon as a valuable language resource is a one of the imp...
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ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2013
ISSN: 1812-5638
DOI: 10.3923/itj.2013.990.996