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Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis.

, , , and . Expert Syst. J. Knowl. Eng., (2018)

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An Optimal Order of Factors for the Computational Treatment of Personal Anaphoric Devices in Urdu Discourse., , and . IJCNLP, page 81-90. The Association for Computer Linguistics, (2008)Effective lexicon-based approach for Urdu sentiment analysis., and . Artif. Intell. Rev., 53 (4): 2521-2548 (2020)Effective Use of Evaluation Measures for the Validation of Best Classifier in Urdu Sentiment Analysis., , and . Cogn. Comput., 9 (4): 446-456 (2017)Computational theory of short distance reflexive anaphoric devices in Urdu discourse for effective machine translation., , and . FIT, page 19:1-19:6. ACM, (2009)Ontology for feature based selection of web development tools., , , and . ICDIM, page 90-95. IEEE, (2013)An Intelligent Unsupervised Approach for Handling Context-Dependent Words in Urdu Sentiment Analysis., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 21 (5): 92:1-92:15 (September 2022)The use of text-based approach in natural language translation by computer.. Cranfield University, UK, (1990)British Library, EThOS.Lexicon-based approach outperforms Supervised Machine Learning approach for Urdu Sentiment Analysis in multiple domains., , and . Telematics Informatics, 35 (8): 2173-2183 (2018)Urdu Sentiment Analysis Using Supervised Machine Learning Approach., and . IJPRAI, 32 (2): 1851001:1-1851001:15 (2018)Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis., , , and . Expert Syst. J. Knowl. Eng., (2018)