AREkit
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML (by nicolay-r)
awesome-sentiment-attitude-extr
By nicolay-r
AREkit | awesome-sentiment-attitude-extr | |
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3 | 1 | |
52 | - | |
- | - | |
8.7 | - | |
26 days ago | - | |
Python | ||
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.
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.
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.
awesome-sentiment-attitude-extr
Posts with mentions or reviews of awesome-sentiment-attitude-extr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-18.
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Show HN: ARElight – A Mass-Media Processing Application for Relation Extraction
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:
What are some alternatives?
When comparing AREkit and awesome-sentiment-attitude-extr you can also consider the following projects:
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
neural-networks-for-attitude-ex
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.