Semantic Sentiment Analysis in Arabic Social Media
نویسندگان
چکیده
منابع مشابه
Sentiment Lexicons for Arabic Social Media
Existing Arabic sentiment lexicons have low coverage—only a few thousand entries. In this paper, we present several large sentiment lexicons that were automatically generated using two different methods: (1) by using distant supervision techniques on Arabic tweets, and (2) by translating English sentiment lexicons into Arabic using a freely available statistical machine translation system. We c...
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SAMAR: Subjectivity and sentiment analysis for Arabic social media Muhammad Abdul-Mageed a,b,∗, Mona Diab c, Sandra Kübler a a Department of Linguistics, Indiana University, 1021 E 3rd. St., Bloomington, IN 47405, USA b School of Library and Information Science, 1320 East 10th Street, Bloomington, IN 47405, USA c Department of Computer Science, School of Engineering & Applied Science, The Georg...
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The proposed system is able to collect useful information from the twitter website and efficiently perform sentiment analysis of tweets regarding the Smart phone war. The system uses efficient scoring system for predicting the user’s age. The user ‘gender is predicted using a well trained Naïve Bayes Classifier. Sentiment Classifier Model labels the tweet with a sentiment. This helps in compreh...
متن کاملSentiment Analysis in Social Media Texts
This paper presents a method for sentiment analysis specifically designed to work with Twitter data (tweets), taking into account their structure, length and specific language. The approach employed makes it easily extendible to other languages and makes it able to process tweets in near real time. The main contributions of this work are: a) the pre-processing of tweets to normalize the languag...
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This article describes in-depth research on machine learning methods for sentiment analysis of Czech social media. Whereas in English, Chinese, or Spanish this field has a long history and evaluation datasets for various domains are widely available, in the case of the Czech language no systematic research has yet been conducted. We tackle this issue and establish a common ground for further re...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2017
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2016.11.011