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.

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

【网页可视化】主体模型分析结果呈现

Using topic modeling and NLP to better deliver study materials

This repo contains code to the final project in the class Social Media Mining, Spring 2018

Sentiment analyses, text summarization, concept-based summaries using WordNet for e.g., job portal company reviews.

A simple example of training LDA model

This repository contains hands-on projects from the course Algorithm of Data-Guided Business Intelligence

Completed Training on Natural Language Processing using Python with Frameworks- NLTK and SPACY.

The protective reverse proxy to place in front of a web service to protect it.

text mining project for Officine Italia monitoring PNRs across Europe with a focus on youth prevalence.

A Tool for Gathering German News Articles and Generation of a ready-to-use Data Set for NLP Tasks

Topic Modelling of text documents to identify the top topic in a whole document

predicting articles popularity using a combination of text mining and classification.

This project includes analysis of buyer's reviews/comments of a popular mobile phone from an e-commerce website . Analysis done for the project include pre-processing of text data such as word-tokenisation, lemmatisation. Followed by Topic-modeling using Latent Dirichlet Allocation, POS tagging, and topic interpretation for business use

Sentiment Analysis on more than 1 Million Tweets of Gaming During Covid19 with help of Python and NLP

Tweets topic modeling