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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Sentence-Level Emotion Detection Framework Using Rule-Based Classification ... Zubair Asghar; Aurangzeb Khan; Afsana Bibi. - : figshare, 2017 BASE Show details 2 Aspect-based opinion mining framework using heuristic patterns ... Zubair Asghar; Ahmad, Shakeel; Rabail Zahra. - : figshare, 2017 BASE Show details 3 Emotive Lexicon ... Zubair Asghar; Afsana Bibi; Aurangzeb Khan. - : figshare, 2017 BASE Show details 4 Aspect-based opinion mining framework using heuristic patterns ... Zubair Asghar; Ahmad, Shakeel; Rabail Zahra. - : figshare, 2017 BASE Show details 5 Emotive Lexicon ... Zubair Asghar; Afsana Bibi; Aurangzeb Khan. - : figshare, 2017 BASE Show details 6 Sentence-Level Emotion Detection Framework Using Rule-Based Classification ... Zubair Asghar; Aurangzeb Khan; Afsana Bibi; Fazal Masud Kundi; Ahmad, Hussain. - : figshare, 2017 Abstract: Emotion detection and analysis aims at developing applications that can detect and analyse emotions expressed by the users in a given text. Such applications have received considerable attention from experts in computer science, psychology, communications and health care. Emotion-based sentiment analysis can be performed using supervised and unsupervised techniques. The existing studies using supervised and unsupervised emotion-based sentiment analysis are based on Ekman’s basic emotion model; have limited coverage of emotion-words, polarity shifters and negations; and lack emoticons and slang. The problems associated with existing approaches can be overcome by the development of an effective, sentence-level emotion-detection sentiment analysis system under a rule-based classification scheme with extended lexicon support and an enhanced model of emotion signals: emotion words, polarity shifters, negations, emoticons and slang. In this work, we propose a rule-based framework for emotion-based sentiment ... Keyword: 80105 Expert Systems; Applied Computer Science; FOS Computer and information sciences URL: https://dx.doi.org/10.6084/m9.figshare.5379838.v1 https://figshare.com/articles/journal_contribution/Sentence-Level_Emotion_Detection_Framework_Using_Rule-Based_Classification/5379838/1 BASE Hide details 7 Emotive Lexicon ... Zubair Asghar; Afsana Bibi; Aurangzeb Khan. - : figshare, 2017 BASE Show details 8 Sentence-Level Emotion Detection Framework Using Rule-Based Classification ... Zubair Asghar; Aurangzeb Khan; Afsana Bibi. - : figshare, 2017 BASE Show details 9 Emotive Lexicon ... Zubair Asghar; Afsana Bibi; Aurangzeb Khan. - : figshare, 2017 BASE Show details 10 Sentence-Level Emotion Detection Framework Using Rule-Based Classification ... Zubair Asghar; Aurangzeb Khan; Afsana Bibi. - : figshare, 2017 BASE Show details 11 Lexical Based Semantic Orientation of Online Customer Reviews and Blogs ... khan, Aurangzeb; khan, Khairullah; Ahmad, Shakeel. - : arXiv, 2016 BASE Show details 12 Sentiment Classification through Semantic Orientation Using SentiWordNe ... Zubair Asghar; Aurangzeb Khan; Ahmad2, Shakeel. - : figshare, 2015 BASE Show details 13 Sentiment Classification through Semantic Orientation Using SentiWordNe ... Zubair Asghar; Aurangzeb Khan; Ahmad2, Shakeel. - : figshare, 2015 BASE Show details

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