A project analyzing user tweets about the 2023 BSI ransomware attack using clustering and topic extraction methods. Persona analysis is performed on both approaches, with a comparison of the results to extract key insights.
Text classification and topic extraction from COVID-19 articles
Explainable Zero-Shot Topic Extraction
Bachelor's degree thesis in computer engineering - Natural Language Processing for sentiment and topic recognition
Unsupervised learning. My Natural Language Processing project on Topic Extraction and Text Clustering.
Deepgram Transcription Processor is a Python program designed to process transcription output obtained from Deepgram's transcription service. It extracts key information such as conversation, summary, and paragraphs from the transcription output JSON and writes them to separate text files for further analysis and reference.
Some of the projects developed for learning reasons.
Application that predicts business events, extract named entities and topics from news articles
Wandora is a general purpose information extraction, management and publishing application based on Topic Maps and Java.
An analysis and exploration of 4 years of Trump's tweets, including data cleaning, sentiment analysis and topic categorization with LDA and NMF.
Reproducible implementation of the paper "Tired of Topic Models? Clusters of Pretrained Word Embeddings...".
TopExApp is a graphical user interface for the TopEx Python package. TopEx allows the exploration of topics present in a group of text documents by clustering sentences together that relay common ideas or themes.
Topic detection to identify the main topics on MIT management papers
Natural Language Processing (NLP) and analysis on reviews about delivery companies in the UK based on reviews extracted from the Trustpilot website
An implementation of the Dabbu Intel API that helps in extraction of and one pagers/summaries of all knowledge around a certain topic, person or place based on information/data from multiple providers
Complete Python code of the methodology used to identify notable posts and topics on Online Social Networks.
Get ranked topics from a list of strings using WASM
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)
Novel implementation for Topic Extraction
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
Add a description, image, and links to the topic-extraction topic page so that developers can more easily learn about it.
To associate your repository with the topic-extraction topic, visit your repo's landing page and select "manage topics."