Swahili-sentiment-Analysis-using-transformers

The special repository to demonstrate how you can use transformers for Swahili text classification (by sarufi-io)

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Posts with mentions or reviews of Swahili-sentiment-Analysis-using-transformers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-24.
  • Understanding How to Evaluate Textual Problems
    1 project | dev.to | 13 Sep 2022
    Accuracy: common metric in sentiment analysis and classification, not the best one but denotes the fraction of times the model makes a correct prediction as compared to the total predictions it makes. Best used when the output variable is categorical or discrete. For example, how often a sentiment classification algorithm is correct.
  • SWAHILI TEXT CLASSIFICATION USING TRANSFORMERS
    4 projects | dev.to | 24 May 2022
    I have copied the first news content from the Train.csv file to see how the Swahili model can work with it and it does the right classification because the sentence is long you can check on the notebook.

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Basic Swahili-sentiment-Analysis-using-transformers repo stats
2
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about 2 years ago

The primary programming language of Swahili-sentiment-Analysis-using-transformers is Jupyter Notebook.


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