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Sentiment Classification Using Negation as a Proxy for Negative Sentiment
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In: Conference papers (2016)
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Abstract:
We explore the relationship between negated text and neg- ative sentiment in the task of sentiment classification. We propose a novel adjustment factor based on negation occur- rences as a proxy for negative sentiment that can be applied to lexicon-based classifiers equipped with a negation detec- tion pre-processing step. We performed an experiment on a multi-domain customer reviews dataset obtaining accuracy improvements over a baseline, and we further improved our results using out-of-domain data to calibrate the adjustment factor. We see future work possibilities in exploring nega- tion detection refinements, and expanding the experiment to a broader spectrum of opinionated discourse, beyond that of customer reviews.
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Keyword:
Computer Sciences; negated text; negative sentiment; sentiment classification
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URL: https://arrow.tudublin.ie/scschcomcon/299 https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1322&context=scschcomcon
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2 |
A Case-Based Approach to Cross Domain Sentiment Classification
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In: Conference papers (2012)
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Domain Independent Sentiment Classification with Many Lexicons
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In: Conference papers (2011)
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Domain Independent Sentiment Classification with Many Lexicons ...
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Sentiment Classification of Reviews Using SentiWordNet
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In: Conference papers (2009)
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Sentiment Classification of Reviews Using SentiWordNet
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In: 9th. IT & T Conference (2009)
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Bi-directional Ontology Versioning BOV
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In: Conference papers (2005)
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