Sentiment lexicons
Review on Sentiment Lexicons of Indian Languages
... decades. Sentiment Analysis is the process of computationally identifying the opinions expressed in a piece of text to determine whether it is positive, negative, or ...indicate sentiment. So the ...
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LexScore: A Semantic Approach to Scoring Domain Specific Sentiment Lexicons
... William L. Hamilton, Kevin Clark, Jure Leskovec, and Dan Jurafsky. 2016a. Inducing domain-specific sentiment lexicons from unlabeled corpora. In Proceedings of the 2016 Conference on Empirical Methods in ...
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Debunking Sentiment Lexicons: A Case of Domain Specific Sentiment Classification for Croatian
... ment lexicons work for domain-specific sentiment classification for ...whether sentiment lexicons can be of use for sentiment classification, either as a part of a simple word-counting ...
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Cross-Domain Contextualisation of Sentiment Lexicons
... general, sentiment detection techniques can be roughly divided into two ...use sentiment lexicons – lists of terms tagged with a value indicating their sentiment polarity ...for ...
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Sentiment Lexicons for Arabic Social Media
... Arabic sentiment lexicons automatically using two different methods: (1) by using distant supervision techniques on Arabic tweets, and (2) by translating English sentiment lexicons into Arabic ...
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AraSenTi: Large Scale Twitter Specific Arabic Sentiment Lexicons
... Generating sentiment lexicons for Arabic has gained the interest of the research community ...Arabic sentiment lexicon was proposed by (Abdul- Mageed and Diab, ...different lexicons: the first ...
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SentiMerge: Combining Sentiment Lexicons in a Bayesian Framework
... four sentiment lexicons into a single resource, which we have named ...word-level sentiment clas- sification task using the MLSA corpus, in which SentiMerge outperformed all four of the underlying ...
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Building Sentiment Lexicons for All Major Languages
... ment lexicons is an extremely resource- intensive process. Such lexicons remain a scarce resource for most ...high-quality sentiment lexi- cons for 136 major ...construct sentiment ...
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Generating Sentiment Lexicons for German Twitter
... The GPC set comprises 10,141 subjective entries automatically translated from the English sentiment lexicons Subjectivity Clues (Wilson et al., 2005) and SentiSpin (Takamura et al., 2005), with a sub- ...
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Extracting and Grounding Context-Aware Sentiment Lexicons
... Automated sentiment analysis based on lexical methods or machine learning identifies the polarity of opinions expressed in these sources to assess how stakeholders perceive a ...sentiment lexicons. ...
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DomEx: Extraction of Sentiment Lexicons for Domains and Meta Domains
... DomEx sentiment lexicon extractor, where a new approach for domain-specific sentiment lexicon extraction is ...implemented. Sentiment lexicon extraction is based on the machine learning model ...
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Towards Debugging Sentiment Lexicons
... Central to many sentiment analysis tasks are sentiment lexicons (SLs). SLs exhibit polarity inconsistencies. Previous work studied the problem of checking the con- sistency of an SL for the case when ...
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DebugSL: An Interactive Tool for Debugging Sentiment Lexicons
... We introduce DebugSL, a visual (Web) de- bugging tool for sentiment lexicons (SLs). Its core component implements our algorithms for the automatic detection of polarity incon- sistencies in SLs. An ...
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Generating Focused Topic Specific Sentiment Lexicons
... larger lexicons, but only gives marginal improvements when lexicons are used for opinion ...non-relevant sentiment targets and syntactic ...cused lexicons unnormalized counts are more ef- ...
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On the Automatic Learning of Sentiment Lexicons
... While the idea to model statistical correlations between the words and tweet labels using PMI or any other metric is rather intuitive, we believe there is a more effective way to exploit noisy labels for estimating the ...
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Learning Sentiment Lexicons in Spanish
... reliable sentiment lexicon in a target language by using manually annotated lexicons from a source language? Second, if a manually annotated dataset is not available, could we use instead resources that ...
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A Linguistically Informed Convolutional Neural Network
... Sentiment lexicons and other linguistic knowledge proved to be beneficial in po- larity classification. This paper intro- duces a linguistically informed Convolu- tional Neural Network (lingCNN), which ...
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Lexicon information in neural sentiment analysis: a multi task learning approach
... for sentiment classification on the SemEval 2016 Task 4 dataset and the Stanford Sentiment Treebank ...different sentiment lexicons available for ...word-level sentiment-score vectors ...
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Movie-Sent: A Sentiment Classification Using Naive bayes and Support Vector Machine Techniques
... are sentiment lexicons that are the words present in review dataset called as opinion ...a sentiment lexicon or opinion lexicon. These type of sentiment lexicons and phrases are useful ...
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Two Step Model for Sentiment Lexicon Extraction from Twitter Streams
... 2013) lexicons bootstrapped from domain-independent sentiment ...independent lexicons and our Twitter-specific lex- ...general lexicons and found the optimal com- bination on the DEV ...
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