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  1. 30 sie 2023 · In this paper, we address this challenge by collecting the first-ever large-scale Urdu Tweet Dataset for sentiment analysis and emotion recognition. The dataset consists of a staggering number of 1, 140, 821 tweets in the Urdu language.

  2. 30 cze 2019 · In particular, we have: 1) developed and presented guidelines for annotating Urdu text with appropriate labels for two levels of classification, 2) developed a large dataset of 21,759 tweets...

  3. A Large Scale Tweet Dataset for Urdu Text Sentiment Analysis. Zenun Kastrati. 2020. This article presents a dataset of tweets in the Urdu language. There are 1,140,824 tweets in the dataset, collected from Twitter for September and October 2020.

  4. 14 sie 2020 · PDF | This paper presents a sentiment analysis approach based on Markov chains for predicting the sentiment of Urdu tweets.

  5. 9 lis 2017 · A recent trend is to analyze people feelings, opinions and orientation about facts and brands: this is done by exploiting Sentiment Analysis techniques, whose goal is to classify the polarity of...

  6. By gathering tweets data over the period of 10 months, we built a sentiment lexicon in Urdu language. Moreover, we devise an algorithm that classifies Urdu text into positive, negative, or neutral classes based on the cumulative sentiment score of the text.

  7. 1 mar 2021 · We used different keywords such as “sentiment analysis in Urdu”, “sentiment classification of Urdu text”, “opinion mining in Urdu”, “preprocessing in Urdu sentiment analysis”, and “subjectivity analysis in Urdu text”.

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