IJRTS : UGC Approved Journal

Paper Title : Augmenting Joint Segmentation & Classification Outline for AudioSentiment Analysis
Author Details : Dr. K. Rama Krishna Reddy
                            Associate Professor
                            Department of Computer Science & Engineering
                            Malla Reddy Engineering College (A),
                            Hyderabad, Telangana

Abstract :  In this paper, we introduce a joint segmentation in addition to Classification Outline for audio sentiment analysis. Past sentiment classification algorithms divide a sentence as a phrase collection, which does now not successfully manage the different sentiment department among a word and the words that are received by the audio record. It can face trouble in case if it incorporates words along with no longer evil and an amazing deal of. We deal with this trouble using growing a joint segmentation as well as the class framework (JSC). Those frameworks concurrently conduct sentence segmentation in addition to sentence-level sentiment class which can be present in the audio file. The common version is skilled best based on the annotated sentiment department of sentences present in audio, with none segmentation comments

Keywords : Artificial intelligence, Joint Segmentation and Classification, Natural language processing, Sentiment analysis, Sentiment classification. Audio data segmentation and classification

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