Risk Prediction Sentiment Analysis

Gurrapu, Sai; Ghadia, Jhanavi; Singh, Tarun; Yeshala, Sai Krishna

Risk Prediction Sentiment Analysis

dc.contributor.author	Gurrapu, Sai	en
dc.contributor.author	Ghadia, Jhanavi	en
dc.contributor.author	Singh, Tarun	en
dc.contributor.author	Yeshala, Sai Krishna	en
dc.date.accessioned	2021-05-14T19:45:57Z	en
dc.date.available	2021-05-14T19:45:57Z	en
dc.date.issued	2021-05-14	en
dc.description.abstract	The risk sentiment analysis tool for workers and workplace is an effort to analyze and determine the safety culture and risk levels of a workplace. Our program will take the narrative reports of the safety and risk conditions from the employees and pass it on to our sentiment analysis software and will return the sentiment values (positive/negative/neutral/mixed) to the users. These values can be referenced by the workplace owners or other employees to have an estimate of the safety conditions at a particular place. Our goal is to accumulate all the information provided by the concerned/satisfied employees, undertake proper sentiment analysis on it and have a reliable output for examination.	en
dc.description.notes	The RiskPredictionSentimentAnalysisReport files contain the full report that demonstrates the solution approach, design, implementation of the work we completed and also includes a brief manual page to use the application, lessons learned and future work to expand on the current implementation. The RiskPredictionSentimentAnalysisReport files have been uploaded in both .docx and .pdf format. The RiskPredictionSentimentAnalysisPresentation file contains the slides that give a brief overview of the project including the timeline, the implementation details and explains the collaborative approach taken by our team to produce the desired outcome. The RiskPredictionSentimentAnalysisPresentation files have been uploaded in both .pptx and .pdf format. The files relating to the codebase to the application are not uploaded as a result of a collective decision taken by our team and the client to maintain the codebase in a private repository.	en
dc.identifier.uri	http://hdl.handle.net/10919/103314	en
dc.language.iso	en_US	en
dc.publisher	Virginia Tech	en
dc.rights	Attribution 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	risk	en
dc.subject	risk sentiment	en
dc.subject	sentiment analysis	en
dc.subject	workplace risk	en
dc.title	Risk Prediction Sentiment Analysis	en
dc.type	Presentation	en
dc.type	Report	en