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http://20.198.91.3:8080/jspui/handle/123456789/8840Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Das, Dipankar | - |
| dc.contributor.author | Dutta, Oindrila | - |
| dc.date.accessioned | 2025-10-09T10:25:23Z | - |
| dc.date.available | 2025-10-09T10:25:23Z | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2022 | - |
| dc.identifier.other | DC3532 | - |
| dc.identifier.uri | http://20.198.91.3:8080/jspui/handle/123456789/8840 | - |
| dc.description.abstract | Sentiment analysis has evolved over the past few decades, most of the work in it revolved around textual sentiment analysis with text mining techniques. But audio sentiment analysis is still in a nascent stage in the research community. In this proposed research, we perform sentiment analysis on speaker-discriminated speech transcripts to detect the emotions of the individual speakers involved in the conversation. We analysed different techniques to perform speaker discrimination and sentiment analysis to find efficient algorithms to perform this task. | en_US |
| dc.format.extent | 69 p. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Jadavpur University, Kolkata, West Bengal | en_US |
| dc.subject | Emotion Analysis | en_US |
| dc.subject | Music Information Retrieval ,Sentiment Analysis | en_US |
| dc.title | RIEA – Retrieval of information & emotion analysis of music | en_US |
| dc.type | Text | en_US |
| dc.department | Jadavpur University . Department of Computer Technology | en_US |
| Appears in Collections: | Dissertations | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| M.Tech (Dept.of Computer Science and Engineering)Oindrila Dutta.pdf | 699.57 kB | Adobe PDF | View/Open |
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