Analysing the state of the UK Economy using Sentiment Analysis and Topic Modelling on Twitter.
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Updated
May 8, 2023 - Jupyter Notebook
Analysing the state of the UK Economy using Sentiment Analysis and Topic Modelling on Twitter.
Investigating biases in scientific publications
A Blog application with features such as generating relevant tags and keywords from blogs in order to generate recommendations for users. Application made using Django. Joint Project by Swebert Correa and Jinit Sanghvi.
Materials and approach utilized for competing in 10-day long hackathon hosted by Analytics Vidhya. Given a set of research articles, it's category has to be classified.
A Pytorch Implementation of LDA2VEC : "Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec"
This project focuses on analyzing tweets from Twitter using topic modeling techniques and interactive visualizations. It employs Latent Dirichlet Allocation (LDA) to discover topics within the tweet data and generates interactive word clouds based on topic-term strengths derived from the model. Users can explore topics and related tweets interactiv
X-Analyze : An Insightful Twitter/X User Profile Analyser
This repository showcases an interactive conversational analysis of the Cornell Movie-Dialogs Corpus, visualised using D3.js, as part of the Data Analysis & Visualisation (DS3001) course final project, encompassing 220,579 exchanges between 10,292 character pairs in 617 movies.
Text mining: Using LDA to create a topic model to cluster news articles
I don't feel like reading this research paper that my professor has us doing so I made this summarizer using Latent Dirichlet Allocation
My published paper on the application of LDA on documents. Base corpus: Thousands of LDS General Conference articles spanning decades.
Topic modelling dengan LDA dan Sentiment Analysis pengguna Twitter dan Facebook terhadap berita TikTok Shop Dihapus
Abarth Electrification | Bayes Business School | MSc Business Analytics | Applied Research Project
Text analysis on young adults' experience of loneliness
A Machine Learning NLP project to extract research topics based on publication titles using KeyBERT unsupervised keyword extraction approach.
Methods in Digital Humanities seminar project
Analysing the top news headlines topics in Australia.
Linked Data Triples Enhance Relevance Classification
Add a description, image, and links to the topic-modelling topic page so that developers can more easily learn about it.
To associate your repository with the topic-modelling topic, visit your repo's landing page and select "manage topics."