yuva29 / twitter-trends-summarizer
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
Related projects ⓘ
Alternatives and complementary repositories for twitter-trends-summarizer
- Integration between Reaction ECommerce and Accelerated Text to provide product descriptions for an e-shop.☆9Updated 3 years ago
- Source real estate prices from the Common Crawl.☆27Updated 6 years ago
- News API - fetch news from CommonCrawl, parse with NewsPlease, enrich with pre-trained machine-learning models, to structured searchable …☆28Updated 2 years ago
- Python video summarization. Visit the public API at -- www.shorten.tv (EDIT: The domain expired and youtube blocked it ..)☆81Updated 2 years ago
- Neural Elastic Inference and Search☆19Updated 5 years ago
- A News Article Collection Library☆22Updated last year
- This Python package can be used to systematically extract multiple data elements (e.g., title, keywords, text) from news sources around t…☆32Updated last year
- This web scraper is intended to extract data from The Home Depot Website, it could be run locally or in the Apify platform, the latter is…☆7Updated 2 years ago
- Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends☆56Updated 9 months ago
- Linking Entities in CommonCrawl Dataset onto Wikipedia Concepts☆59Updated 12 years ago
- A library to extract a publication date from a web page, along with a measure of the accuracy.☆42Updated 5 years ago
- 100k+ topic labeled news articles published from thousands of news websites☆18Updated 4 years ago
- a Hadoop Map Reduce application that retrieves data/articles related to sports from sources like NY Times, Commoncrawl, and Twitter and c…☆12Updated 5 years ago
- Streamlit application to keep GPT3 Experimentation sane☆23Updated 3 years ago
- 📖 Using deep learning and scraping to analyze/summarize articles! Just drop in any URL!☆19Updated last year
- A simple web application for searching Word2Vec embeddings derived from approximately 2,000 law reports published by the The Incorporated…☆25Updated 2 years ago
- A curated list of promising Web Data Extractors resources☆28Updated 4 years ago
- This repository contains different algorithms that are used to build taxonomy from text corpus.☆8Updated 3 years ago
- Demo example of consumer goods categorization☆25Updated last year
- Similarity search on Wikipedia using gensim in Python.☆61Updated 5 years ago
- Matrix-based News Aggregation to Explore Media Bias☆20Updated 6 years ago
- A Python package to get useful information from documents using TopicRank Algorithm.☆16Updated last year
- Using Machine Learning to Create Funny Memes☆24Updated last year
- Reddit title generator API based on GPT-2☆20Updated 4 years ago
- MTurk Scripts☆17Updated 6 months ago
- The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques☆29Updated 4 years ago
- Node starter kit for semantic-search. Uses Mighty Inference Server with Qdrant vector search.☆15Updated last year
- Google Cloud Storage connector, pre-processor and model for predicting user search intent based on keywords☆24Updated 5 years ago
- Modelling Big Five Personality Inventory using Machine Learning algorithms☆21Updated last week