This is a project on analysis and Topic modelling / document tagging of BBC Articles with LSA and LDA algorithms.

This is a project on analysis and Topic modelling / document tagging of BBC Articles with LSA and LDA algorithms.

A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset

Topic Modeling is a way of finding out what topics are in a collection of texts.

Code relating to work carried out during an internship at Sinch, consisting of an analysis of current topic modeling models.

my blog

Cythonized implementation of Topic modeling.

CryptoIntel is a one stop dashboard which gives all the information about cryptocurrencies. All the inquisitive users can get their answers related to cryptocurrencies from cryptointel.

Source code for the paper "Topic Modeling for Conference Analytics"

Analysis on /r/loseit for research on emotional eating

Production Effort & Audience Reception of Movie Industry 2010-2017

MY PROJECTS: PCE Contamination, African Region: Similarity, Topics, mini-processes(An Explanatory Analysis)

Sample of Python codes from mathematical problems

Online EM learning for Biterm Topic Model

In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body.

The idea of this project is analyzing a large database of opinions sourced from the public and span many aspects regarding a public interest activity that will have many impacts. The focused output is to find groups of similar opinions in relation to aspects of the activity using Machine learning and Clustering techniques

A short project to explore political polarization in the language of current affairs and political commentary programs on Fox News (Hannity, Ingraham) and MSNBC (Maddow, O'Donnel) .