Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8306
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DC Field | Value | Language |
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dc.contributor.author | Garg, Shivam | - |
dc.contributor.author | Mohana, Rajni [Guided by] | - |
dc.date.accessioned | 2022-11-15T04:28:17Z | - |
dc.date.available | 2022-11-15T04:28:17Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8306 | - |
dc.description.abstract | Identifying the emotion or the feeling in a written essay or in a message is much harder than it is in a conversation. For one thing, there are no facial expressions or body language to hint at a writer’s emotional state. Also there’s usually no single attribute that is responsible for the tone of a message. This project Essay tone detector as the name suggests detects the tone of the essay or the message written by the writer. This is an extrapolation of the popularly used “Sentiment Analysis Tool” to determine the tone or the emotion of the writer in his/her literary works/social media/ essay writing competitions etc. This project Essay Tone Detector depends on a mix of rules and ml (machine learning) to identify various hints or flags in a piece of writing which adds to its general tone or the emotion. This Essay tone detector can tell you how your message is probably going to sound to somebody reading it. The goal of this project is to detect the tone or the emotion of the essay or the articles or the reviews and various other literary works of the writer. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Tone Detector | en_US |
dc.subject | Essay | en_US |
dc.title | Essay Tone Detector | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Essay Tone Detector By Shivam Garg.pdf | 1.75 MB | Adobe PDF | View/Open |
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