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CHaymaK/Language-Identification-Sentiment-Analysis-for-Arabic-and-Tunisian-Texts

Domaine:

natural language processing

Type de record:

software
Créateur:
CHa
Hôte:
This repository contains two example of text processing tasks using NPL. # Language-Identification-Sentiment-Analysis-for-Arabic-and-Tunisian-Texts This repository contains two example of text processing tasks (NLP). ## 1. Language Identification applied on an Arabic Text and on a Tunisian Text: We used two methods: \ - **A dictionnary based method** \ - **Naive Bayes** ## 2. Sentiment Analysis for Arabic texts. We want to classify our texts into: Positive, Negative, Neutral. We used two models: \ - **Naive Bayes**\ - **Logistic Regression**

Visit

github.com

Tasks

language identificationsentiment analysistext classification