Blind-App-Reviews vs R-text-data

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Blind-App-Reviews		R-text-data
	Project
1	Mentions	1
14	Stars	145
-	Growth	-
10.0	Activity	0.0
about 2 years ago	Latest Commit	over 2 years ago
	Language
MIT License	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.

Blind-App-Reviews

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

[Self Promotion] I scraped Blind App and created a dataset of company reviews for over 25 companies!
1 project | /r/datasets | 9 May 2022

You can also submit feedback and bug/feature reports on GitHub: https://github.com/HarshCasper/Blind-App-Reviews

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.

Top-notch text analysis/NLP repository for R
1 project | /r/rstats | 16 Aug 2021

What are some alternatives?

When comparing Blind-App-Reviews and R-text-data you can also consider the following projects:

awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas

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 .

financial-news-dataset - Reuters and Bloomberg

Woolly - The Text Mining Elixir

wikipron - Massively multilingual pronunciation mining

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

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

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 !