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.
Data analytics project in R to create a predictive model for the detection of objectivity in sports articles, based on co-training.
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.
Wikimedia (enwiki) search engine built on inverted index and tf-idf ranked retrieval
First project of a University Course(Object Oriented Programming)
This repository contains PCA-analysis, SVD, and tf-idf examples from large scale analytics
Thalamus - Health Service Information
One-Class SVMs for Document Classification
In this mini-project I scrape the official Atom editor forum and apply Natural Language Processing techniques to find the most similar post in the forum to each one.
Trabajo Práctico Final para la materia Organización de Datos 75.06 - UBA. Score máximo obtenido de 0.83726 para la competencia 'Real or Not? NLP with Disaster Tweets' de Kaggle.
This work is for my thesis. This paper is published on I-IKM-2019
Used Tf-Idf approach to extract important keywords from query. Applied Kmeans clustering over Document-Term-Matrix and Doc2vec vectors using gensims. Tried to cluster keywords using Kmeans and t-Sne approach. Here i put the notebooks , you can make changes as per your needs.
Feature engineering is the process of transforming raw data into features. Here are some basic ideas about feature engineering.
MediaEval challenge 2019 - to predict the memorability of the Videos
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