Reproducible implementation of the paper "Tired of Topic Models? Clusters of Pretrained Word Embeddings...".
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Updated
Mar 10, 2023 - Python
Reproducible implementation of the paper "Tired of Topic Models? Clusters of Pretrained Word Embeddings...".
School project 2016, web-page content analysis using ML
Data Science Challenge on Topic Classification
Review of Latent Dirichlet Allocation (LDA) for topic extraction of product reviews for use by product managers. Explores high level overview of LDA, popular libraries, and potential improvements to or over LDA for topic extraction of reviews.
Full code to create app that summarize the news and get the topic using models that are easy to train and deploy (Use the API)
Unsupervised learning. My Natural Language Processing project on Topic Extraction and Text Clustering.
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
Get ranked topics from a list of strings using WASM
Some of the projects developed for learning reasons.
Get posts and comments from fb pages using facebook api
Extracts semantic tags from English text
Classify texts on the basis of keywords into 11 different categories.
Restaurant Price Tier ($) Predictor using LDA, Topic modeling and Featuring, classification using Python.
Topic detection to identify the main topics on MIT management papers
Application that predicts business events, extract named entities and topics from news articles
Bachelor's degree thesis in computer engineering - Natural Language Processing for sentiment and topic recognition
YEDDASeg: Textual Topic Segmentation Annotation tool
LDA models parameters tuning
In this project, I have used gensim and nltk libraries to extract topic from the given data.
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