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MentalHealthInTechSurvey-Basic-Machine-Learning-
Mental Health Depression Prediction in PythonEmployee-History
The Project has been implemented using ASP.NET CORE Framework in MVC architecture. Used WEB API, AJAX and Entity-Framework to implement this project. All the CRUD operation functionalized using AJAX and Web-API into this project. Advance search option and paging also has been implemented. Although this is a short project but because of the fact all the CRUD operation has been functionalized throw WEB- API, the whole project maintains the Restful operations and its possible to implement this project in different platforms using the API.Sentiment_Analysis_Of_Movie_Reviews_Using_Key_Pair_Graph_Analysis
Sentiment Analysis is an automated mining of user generated opinionated text data such as reviews,comments and feedback.Sentiment Analysis classify those text data into their respective sentiments of positive , negative or neutral.Most of the researchers focused into this domain using one of the three classifier like SVM,Naive Bayes, and Maximum Entropy. In machine learning there are numbers of classifier model available.In this proposed approach there will be more focus on Mathematical Analysis and Natural Language Processing.The combinational difference between two subsets will provide the answer of movie review being positive or negative.In case of Natural Language Processing three algorithm has been used in this proposed model respectively Co_Occurrence matrix , Knowledge Graph Naive Bayes.To measure the combinational ratio of two subsets, Jaccard Distance has been used.Jaccard Distance is a pretty common technique in Mathematical and Big Data Analysis.In Feature Selection Jaccard Distance and Lexicon BasLove Open Source and this site? Check out how you can help us