Extended Feature Spaces Based Classifier Ensembles for Sentiment Analysis of Short Texts
نویسندگان
چکیده
منابع مشابه
Sentiment Analysis of Short Informal Texts
We describe a state-of-the-art sentiment analysis system that detects (a) the sentiment of short informal textual messages such as tweets and SMS (message-level task) and (b) the sentiment of a word or a phrase within a message (term-level task). The system is based on a supervised statistical text classification approach leveraging a variety of surfaceform, semantic, and sentiment features. Th...
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Sentiment analysis of short texts such as single sentences and Twitter messages is challenging because of the limited contextual information that they normally contain. Effectively solving this task requires strategies that combine the small text content with prior knowledge and use more than just bag-of-words. In this work we propose a new deep convolutional neural network that exploits from c...
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Sentiment Analysis has become an increasingly important research topic. This paper describes our approach to building a system for the Sentiment Analysis in Twitter task of the SemEval-2014 evaluation. The goal is to classify a phrase within a short piece of text as positive, negative or neutral. In the evaluation, classifiers trained on Twitter data are tested on data from other domains such a...
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Sentiment analysis refers to a broad range of fields of the natural language processing, computational linguistics, and text mining. Mining is used to extract previously unknown information from the different written resources. This extracted information is helping in decision making process. Sentiment analysis has gained much attention in recent years. It determines the opinion and attitude of...
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ژورنال
عنوان ژورنال: Information Technology And Control
سال: 2018
ISSN: 2335-884X,1392-124X
DOI: 10.5755/j01.itc.47.3.20935