MosesKKhoza/Swahili-Social-Media-Sentiment-Analysis

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natural language processing

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software

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Mos

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## Swahili Sentiment Analysis Classifying Swahili tweets into positive, negative, and neutral sentiments from zindi.africa. This solution fine-tunes a pre-trained RoBERTa (**WECHSEL-Swahili**) model using the transformers library.

Introducing a Swahili social media sentiment analysis dataset for the telecom industry

Swahili is the most widely spoken language in Africa with over 200 million speakers. Despite its popularity in the continent, there is insufficient NLP research conducted on the language. The shortage of high-quality annotated datasets is attributed to this. In t

A comparative study for classical machine learning models for swahili social media sentiment analysis

Despite sentiment analysis being one of the most popular applications in Natural Language Processing

mahmoudsegni/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

On social media, Arabic speakers tend to express themselves in their own local dialect. To do so, Tu

Houssem96/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

# Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi It includes a starter python notebook to bui

negeek/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

# Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi This is a competition hosted on zindi by A14D

INTISSAR1998/Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi

# Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi On social media, Arabic speakers tend to expr

MosesKKhoza/Swahili-Social-Media-Sentiment-Analysis

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