Show HN: ARElight – A Mass-Media Processing Application for Relation Extraction

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • AREkit

    Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML

  • 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:

  • ARElight

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

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • 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.

  • 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:

  • 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:

  • neural-networks-for-attitude-extraction

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

  • https://github.com/nicolay-r/neural-networks-for-attitude-ex...

    Among all the other personal projects, we adopt BRAT only in ARElight. For now, there is no paper specifically devoted to ARElight only.

  • https://github.com/nicolay-r/neural-networks-for-attitude-ex...

    Among all the other personal projects, we adopt BRAT only in ARElight. For now, there is no paper specifically devoted to ARElight only.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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