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1. github.com › urduhack › urduhackUrduhack: A Python NLP library for Urdu language - GitHub

   github.com › urduhack › urduhack

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   Python 100.0%. An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible. - urduhack/urduhack.

2. medium.com › @muhammadnomanshafiq76 › introducing-lughaatnlp-a-powerful-urduIntroducing LughaatNLP: A Powerful Urdu Language Preprocessing...

   medium.com › @muhammadnomanshafiq76 › introducing-lughaatnlp-a-powerful-urdu

   12 kwi 2024 · LughaatNLP is an exciting new open-source Python library designed to streamline natural language processing tasks for the Urdu language. Developed by Muhammad Noman, a student at Iqra...

3. medium.com › analytics-vidhya › sentiment-analysis-on-roman-urdu-using-python-skSentiment Analysis on Roman Urdu using python, sklearn and nltk

   medium.com › analytics-vidhya › sentiment-analysis-on-roman-urdu-using-python-sk

   A beginner’s guide to implementing BERT for Sentiment Analysis with a complete code walkthrough and examples.

4. stackoverflow.com › questions › 44450521Sentiment analysis for urdu language written using latin script...

   stackoverflow.com › questions › 44450521

   9 cze 2017 · I have been using python's TextBlob library to get sentiment polarity for english language. Now I want to get sentiment analysis (polarity) of urdu language written in latin script. for example. English sentence : "What is your name".

5. pypi.org › project › urduhackurduhack - PyPI

   pypi.org › project › urduhack

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   6 lip 2020 · Urduhack is a NLP library for urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.

6. www.sciencedirect.com › science › articleA survey on sentiment analysis in Urdu: A resource-poor language

   www.sciencedirect.com › science › article

   1 mar 2021 · In this survey, we investigated an emanate problem of sentiment analysis in Urdu language and discussed three important modules namely (i) preprocessing, (ii) lexical resources, and (iii) sentiment classification, required for developing sentiment-based applications.

7. www.researchgate.net › publication › 363184417_Sentiment_analysis_techniquesSentiment analysis techniques, challenges, and opportunities:...

   www.researchgate.net › publication › 363184417_Sentiment_analysis_techniques

   the sentiment analysis for the Urdu language addressed three different dimensions of Urdu-based SA, including pre-processing, lexicon resources, and sentiment classification.