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  1. NewsMTSC Public

    Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

    Python 38 3

  2. news-please - an integrated web crawler and information extractor for news that just works

    Python 1.2k 306

  3. Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

    HTML 380 76

  4. Matrix-based News Aggregation to Explore Media Bias

    Java 13 5

  5. The first, open access evaluation dataset for methods to identify bias by word choice and labeling

    15 4

133 contributions in the last year

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Contribution activity

January 2022

Created 9 commits in 1 repository

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