afinn VS veritaserum

Compare afinn vs veritaserum and see what are their differences.

veritaserum

Sentiment analysis based on afinn-165, emojis and some enhancements. (by uesteibar)
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afinn veritaserum
1 -
439 82
- -
2.6 0.0
about 2 years ago over 1 year ago
Jupyter Notebook Elixir
Apache License 2.0 Apache License 2.0
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.

afinn

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

veritaserum

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

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

What are some alternatives?

When comparing afinn and veritaserum you can also consider the following projects:

wink-eng-lite-model - English lite language model for wink-nlp.

colors - colors util written in Elixir

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Ex_Money - Elixir implementation of Money with Currency

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

ex_uc - Elixir Unit Converter

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

brcpfcnpj - Validação,Formatação e Gerador Cpf/Cnpj em Elixir

SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)

slime - Minimalistic HTML templates for Elixir, inspired by Slim.

n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.

secure_random - Convenience library for random base64 strings modeled after my love for Ruby's SecureRandom