awesome-sentiment-attitude-extraction VS AREkit

Compare awesome-sentiment-attitude-extraction vs AREkit and see what are their differences.

awesome-sentiment-attitude-extraction

A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc. (by nicolay-r)

AREkit

Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML (by nicolay-r)
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awesome-sentiment-attitude-extraction AREkit
1 3
15 52
- -
5.0 8.7
about 2 months ago about 1 month ago
Python
- MIT License
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awesome-sentiment-attitude-extraction

Posts with mentions or reviews of awesome-sentiment-attitude-extraction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-18.
  • Show HN: ARElight – A Mass-Media Processing Application for Relation Extraction
    8 projects | news.ycombinator.com | 18 Jun 2022
    After looking at the BERT paper linked here https://github.com/nicolay-r/awesome-sentiment-attitude-extr... and at https://github.com/nicolay-r/AREkit

    I was able to fully understand the purpose. I can read enough of the language in the screenshots to get a basic idea before reading those, but most English speakers probably aren't even going to know what США is :).

    Here's what this project is from my understanding:

AREkit

Posts with mentions or reviews of AREkit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-18.

What are some alternatives?

When comparing awesome-sentiment-attitude-extraction and AREkit you can also consider the following projects:

contract-discovery - Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).

ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit

neural-networks-for-attitude-ex

neural-networks-for-attitude-extraction - Source code for ISPRAS-2021 journal paper "Language Models Application in Sentiment Attitude Extraction Task" (in Russian)