yuva29 / twitter-trends-summarizerLinks
NLP: An Approach to Automatic Trending Tweet Summarization. Summaries will greatly help the user in understanding “why the topic is trending”. We have proposed an algorithm which automatically generates summaries for trending topics/hashtags based on tweets and it's related news article.
☆15Updated 8 years ago
Alternatives and similar repositories for twitter-trends-summarizer
Users that are interested in twitter-trends-summarizer are comparing it to the libraries listed below
Sorting:
- Source real estate prices from the Common Crawl.☆27Updated 6 years ago
- Modelling Big Five Personality Inventory using Machine Learning algorithms☆22Updated 8 months ago
- This Python package can be used to systematically extract multiple data elements (e.g., title, keywords, text) from news sources around t…☆33Updated 2 years ago
- Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends☆57Updated last year
- Python video summarization. Visit the public API at -- www.shorten.tv (EDIT: The domain expired and youtube blocked it ..)☆81Updated 3 years ago
- Take streaming tweets, extract hashtags & usernames, create graph, export graphml for Gephi visualisation☆38Updated 12 years ago
- Streamlit application to keep GPT3 Experimentation sane☆23Updated 4 years ago
- ☆13Updated 2 years ago
- A narrow implementation of DiagramGPT for generating system architecture diagrams with local LLM models and Llama.cpp☆25Updated last year
- Word embeddings for job postings☆13Updated 2 years ago
- Build intelligent data-driven applications with minimal effort. Sentence Clustering, Topics Extraction, Text Similarity, Opinion Summariz…☆40Updated 5 years ago
- A curated list of promising Web Data Extractors resources☆28Updated 5 years ago
- Using Machine Learning to Create Funny Memes☆25Updated 2 years ago
- AI article writer to automatically generate articles with 1,500-7,000+ words to boost your website's SEO and make it more alive☆25Updated last year
- Detecting fashion trends on instagram.☆20Updated 9 years ago
- View count predictor using titles, descriptions, and thumbnails.☆35Updated 7 years ago
- The Selenium scraper that collected a million stories from Medium.com☆80Updated 6 years ago
- Code and data belonging to our CSCW 2018 paper: "Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on Y…☆28Updated 6 years ago
- ☆10Updated 5 years ago
- 📖 Using deep learning and scraping to analyze/summarize articles! Just drop in any URL!☆19Updated 2 years ago
- Code and documentation for running generative LLMs like ChatGPT or GPT4 in google sheets without any coding knowledge. Transform unstruct…☆133Updated 2 years ago
- Similarity search on Wikipedia using gensim in Python.☆60Updated 6 years ago
- This project experiments with the Google NLP Algorithm to evaluate e-commerce product descriptions from an SEO perspective.☆17Updated 5 years ago
- Dump of generated texts from GPT-2 trained on /r/legaladvice subreddit titles☆23Updated 6 years ago
- WordNet Domains, WordNet Affect and SentiWords☆48Updated 9 years ago
- A visualization for IBM Watson Personality Insights service output.☆44Updated 7 years ago
- 18F's micro-purchase threshold experiment management app.☆7Updated 7 years ago
- Matrix-based News Aggregation to Explore Media Bias☆20Updated 7 years ago
- A News Article Collection Library☆22Updated 2 years ago
- Interface for Google Trends time series☆12Updated 2 years ago