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Uses topic modeling to identify context between follower relationships of Twitter users
This repo contains unsupervised models including the Latent Dirichlet Allocation (LDA) model applied to a corpus of research papers and a clustering analysis applied to customer segmentation.
Drake Analysis: a deeper look into the discography of Canada's Rap King using various NLP techniques.
Topic modeling for NYT articles.
Python Notebooks for Collecting Tweets and Analyze their text using various text classification and clustering techniques
Multiclass Intent Classification using MLP, LSTM, and BERT (subtask: Topic Modelling).
This project contains the data, code and results used in the paper: Denter, N., Seeger, F., & Moehrle, M. G. (2022). How can Blockchain technology support patent management? A systematic literature review. International Journal of Information Management, Article 102506. Advance online publication. https://doi.org/10.1016/j.ijinfomgt.2022.102506.
Topic modeling on tweets from users in India over a 2-year period to discover trending topics and discussions
Automatic Keyphrase Extraction from Russian-Language Scholarly Papers in Computational Linguistics
E-Commerce Comment Classification with Logistic Regression and LDA model
A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset
Topic Modelling with LDA on Journalistic Turkish Texts
This repo contains a demonstration of the Latent Dirichlet Allocation Model (LDA) for topic modelling using Gensim Package, and pyLDAvis to visualize the LDA topics.
Unsupervised Topic Modelling project using Latent Dirichlet Allocation (LDA) on the NeurIPS papers. Built as part of the final project for McGill AI Society's Accelerated Introduction to Machine Learning Course (MAIS 202).
Can we learn about the Resist Movement by analyzing #resist tweets?
A Jupyter notebook analyzing the major reasons for Tesla order cancellation and how Elon Musk's tweets correlate with order cancellation.
An academic project to use text analytics tools to analyze tweets from Twitter regarding the topic 'Technology and Innovation in UAE'
A project on unsupervised topic modeling of garage reviews.
Extracting Topics according to relevance using LDA
기관 협업 공동 연구(23.08~12) - 한국기초과학지원연구원(Korea Basic Science Institute)
Discovering latent features in restaurant reviews using Topic Modeling
A data challenge to analyze news headline to draw insight and build predictive models to predict the kind of reaction different news headlines will receive from readers.
Classify, find categories for, and automatically process complaint emails
A Python tool that summarizes and categorizes Launch School Capstone YouTube presentations using the YouTube Data API, OpenAI API, NLTK, PyLDAvis, and Streamlit
Metis project 5/7
This project showcase the application of LDA Topic Modelling and KMeans Clustering for extracting information from the PDF documents
Segmentação dos principais assuntos das reviews utilizando Latent Dirichlet Allocation (LDA). Pandas, Spacy, Deep Translator, GoogleTranslator, googletrans, NLTK, LDA, WordCloud, Pandarallel, pyLDAvis, sklearn, GridSearchCV.
LDA Topic Modelling and VADER Sentiment Analyzer
This project consists in performing a Topics Modeling as well as a sentiment analysis on user opinions of Android applications. Data is extracted using Web Scrapping from the Google Play Store.
Выполняется тематическое моделирование для отзывов о работе банка с подробным анализом полученных тем
Sentiment Analysis on more than 1 Million Tweets of Gaming During Covid19 with help of Python and NLP