Publication | Open Access
JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis
26
Citations
16
References
2014
Year
Unknown Venue
EngineeringConditional Random FieldMultimodal Sentiment AnalysisCorpus LinguisticsSentiment AnalysisText MiningNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsAffective ComputingDocument ClassificationLanguage StudiesContent AnalysisSentiment Analysis TaskNlp TaskKnowledge DiscoveryComputer ScienceSemantic ParsingOnline ReviewsTopic ModelLinguisticsOpinion Aggregation
The fast upswing of online reviews and their sentiments on the Web became very useful information to the people. Thus, the opinion/sentiment mining has been adopted as a subject of increasingly research interest in the recent years. Being a participant in the Shared Task Challenge, we have developed a Conditional Random Field based system to accomplish the Aspect Based Sentiment Analysis task. The aspect term in a sentence is defined as the target entity. The present system identifies aspect term, aspect categories and their sentiments from the Laptop and Restaurants review datasets provided by the organizers.
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