Question Recommendation and Topic Modelling engine.
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Updated
Sep 17, 2014 - Python
Question Recommendation and Topic Modelling engine.
Rediscover your past months and years using Google search data. Google allows users to download their Google data, including their search history. This project analyzes the data and creates a personalized word-cloud poster, which brings back your thoughts, fears and dreams from that period.
This project calculates the contribution of each character to the Marvel Cinematic Universe in terms of how much time they spend on screen. The TF-IDF ranking algorithm is used here for the purpose.
Object Detection Binary Classifiers
Customer Review Sentiment Analysis Using Naive Bayes and Bag of Words
TF-IDF HR Analytics system, extract keywords from documents (docx, doc, pdf) and compare based on best match to job description
[Backend] 딥러닝 기반 일치율 수식을 이용한 유튜브 콘텐츠 필터링
Rank based information retrieval system. Ranking done based on Tf-Idf scores of documents and queries
Return ranked keywords of a job position using TF-IDF.
The goal of this project is to build a content-based movie recommender system. The system provides movie recommendations to users based on the content and descriptions of movies they have shown interest in.
A Search engine to retrieve text documents in response to the user's Query.
Simple Animal Q&A System
Document-level semantic clustering. Unsupervised topic modelling.
Legal case retrieval challenge. Solution based on similarity search and learning-to-rank methods
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