Topic Modelling for Humans
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Updated
Jun 12, 2024 - Python
Topic Modelling for Humans
Collection of notes on things I find interesting
🗺️ Data Cleaning and Textual Data Visualization 🗺️
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
This collection features a series of NLP projects, covering diverse aspects. Explore projects in text processing, sentiment analysis, entity resolution, and more.
Robust and fast topic models with sentence-transformers.
Adapted BERTopic pipeline for Topic Modeling the arXiv dataset
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Owl - OCaml Scientific Computing @ https://ocaml.xyz
ChunkeyBert is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings for unsupervised keyphrase extraction from long text documents.
Blazing fast topic modelling for short texts.
This project aims to provide developers and researchers with a powerful tool for working with text data, including tasks such as text summarization, topic modeling, named entity recognition (NER), translation, and speech-to-text conversion.
A Project on Temporal Topic Modeling
Anàlisi de les dades obtingudes a les Assemblees Ciutadanes pel Clima de Catalunya i de Barcelona. Estudi fet amb models de machine learning de topic modeling per obtenir els tòpics de les propostes i entendre quins tòpics climàtics interessen i preocupen més a la ciutadania catalana.
A Topic Modeling System Toolkit
Developing Natural Language Processing tools to enhance Learning Analytics. Creating an automated dashboard that diagnoses strengths and weaknesses from educational data.
This is my final year project "customer reviews classification and analysis system using data mining and nlp". It analyzes and then classifies the customer reviews on the basis of their fakeness, sentiments, contexts and topics discussed. The reviews are taken from various e-commerce platforms like daraz and amazon.
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To associate your repository with the topic-modeling topic, visit your repo's landing page and select "manage topics."