Woolly VS R-text-data

Compare Woolly vs R-text-data and see what are their differences.

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Woolly R-text-data
- 1
50 140
- -
0.0 0.0
about 3 years ago over 2 years ago
Elixir
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Woolly

Posts with mentions or reviews of Woolly. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Woolly yet.
Tracking mentions began in Dec 2020.

R-text-data

Posts with mentions or reviews of R-text-data. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Woolly and R-text-data you can also consider the following projects:

Cognixir - Cognitive Services for Elixir

obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

gibran - Gibran is an Elixir natural language processor, and a port of WordsCounted.

trafilatura - Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments

Paasaa - 🔤 Natural language detection for Elixir

Giveme5W1H - Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

Petrovich - Elixir library to inflect Russian first, last, and middle names.

Blind-App-Reviews - Scraped reviews of over 25 companies from the Blind App ⚡️

Tongue - Elixir port of Nakatani Shuyo's natural language detector

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !