Sentimentanalysis VS rakun2

Compare Sentimentanalysis vs rakun2 and see what are their differences.

Sentimentanalysis

Language independent sentiment analysis (by AOK-PLUS)
sentiment-analysis universal-sentence-encoder NLP nlp-machine-learning Tensorflow2 Deep Learning Embeddings sentence2vec Multilingual
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rakun2

RaKUn 2.0 - A fast keyword detection algorithm (by SkBlaz)
extraction information-retrieval keyphrase keyphrase-extraction keyphrases keyword-extraction Keywords keywords-extraction Library Multilingual Natural Language Natural Language Processing NLP nlp-keywords-extraction nlp-library nlp-machine-learning Python scalable-machine-learning unsupervised-learning
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Sentimentanalysis rakun2
2 1
7 61
- -
2.6 6.1
about 3 years ago 3 months ago
Python Python
MIT License 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.

Sentimentanalysis

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

rakun2

Posts with mentions or reviews of rakun2. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Sentimentanalysis and rakun2 you can also consider the following projects:

trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

ddb-extraction - Extract the samples of a DDB Vocaloid file.

contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

NLP-Guide - Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.

OpenPrompt - An Open-Source Framework for Prompt-Learning.

TopMost - A Topic Modeling System Toolkit

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

kerning-pairs - The ultimate list of kerning pairs for type designers

taxonomy4good - Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies.

megabots - 🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵

KeyPhraseTransformer - KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Sentimentanalysis vs trankit rakun2 vs ddb-extraction Sentimentanalysis vs contextualized-topic-models rakun2 vs NLP-Guide Sentimentanalysis vs OpenPrompt rakun2 vs TopMost Sentimentanalysis vs PyTorch-NLP rakun2 vs kerning-pairs rakun2 vs taxonomy4good rakun2 vs megabots rakun2 vs KeyPhraseTransformer rakun2 vs transformers