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Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis

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dc.contributor.authorKim, Hyeoncheol-
dc.date.accessioned2021-08-28T02:31:39Z-
dc.date.available2021-08-28T02:31:39Z-
dc.date.created2021-04-22-
dc.date.issued2017-11-28-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/20841-
dc.publisherROCLING-
dc.titleMulti-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis-
dc.title.alternativeMulti-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis-
dc.typeConference-
dc.contributor.affiliatedAuthorKim, Hyeoncheol-
dc.identifier.bibliographicCitationTHE 2017 CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING (ROCLING 2017)-
dc.relation.isPartOfTHE 2017 CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING (ROCLING 2017)-
dc.relation.isPartOfTHE 2017 CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING (ROCLING 2017)-
dc.citation.titleTHE 2017 CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING (ROCLING 2017)-
dc.citation.conferencePlaceCH-
dc.citation.conferenceDate2017-11-27-
dc.type.rimsCONF-
dc.description.journalClass1-
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