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
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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