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Teaching of Urdu in France : Issues and challenges ; L’enseignement de l’ourdou en France : enjeux et défis
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In: International Scientific Conference, “Herzen’s Readings, Foreign languages ; https://hal-inalco.archives-ouvertes.fr/hal-03558821 ; International Scientific Conference, “Herzen’s Readings, Foreign languages, Apr 2022, Saint-Petersburg, Russia (2022)
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Pakistan-Inde : l’ourdou en partage ? ; Pakistan-Inde : l’ourdou en partage ?: India-Pakistan : Urdu in common ?
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In: https://hal-inalco.archives-ouvertes.fr/hal-03583625 ; 2022 (2022)
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"Passed around by a crescent" : wine poetry in the literary traditions of the Islamic world ...
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Unkn Unknown. - : Ergon Verlag in Kommission, Baden-Baden, 2022
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Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2694 (2022)
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Abstract:
Sentiment analysis (SA) has been an active research subject in the domain of natural language processing due to its important functions in interpreting people’s perspectives and drawing successful opinion-based judgments. On social media, Roman Urdu is one of the most extensively utilized dialects. Sentiment analysis of Roman Urdu is difficult due to its morphological complexities and varied dialects. The purpose of this paper is to evaluate the performance of various word embeddings for Roman Urdu and English dialects using the CNN-LSTM architecture with traditional machine learning classifiers. We introduce a novel deep learning architecture for Roman Urdu and English dialect SA based on two layers: LSTM for long-term dependency preservation and a one-layer CNN model for local feature extraction. To obtain the final classification, the feature maps learned by CNN and LSTM are fed to several machine learning classifiers. Various word embedding models support this concept. Extensive tests on four corpora show that the proposed model performs exceptionally well in Roman Urdu and English text sentiment classification, with an accuracy of 0.904, 0.841, 0.740, and 0.748 against MDPI, RUSA, RUSA-19, and UCL datasets, respectively. The results show that the SVM classifier and the Word2Vec CBOW (Continuous Bag of Words) model are more beneficial options for Roman Urdu sentiment analysis, but that BERT word embedding, two-layer LSTM, and SVM as a classifier function are more suitable options for English language sentiment analysis. The suggested model outperforms existing well-known advanced models on relevant corpora, improving the accuracy by up to 5%.
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Keyword:
deep learning; LSTM; machine learning; Roman Urdu language; sentiment analysis; word embedding
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URL: https://doi.org/10.3390/app12052694
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Word Order, Intonation, and Prosodic Phrasing: Individual Differences in the Production and Identification of Narrow and Wide Focus in Urdu
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In: Languages; Volume 7; Issue 2; Pages: 103 (2022)
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Teaching of Urdu in France : Issues and challenges ; L’enseignement de l’ourdou en France : enjeux et défis
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In: International Scientific Conference, “Herzen’s Readings, Foreign languages ; https://hal-inalco.archives-ouvertes.fr/hal-03558821 ; International Scientific Conference, “Herzen’s Readings, Foreign languages, Apr 2022, Saint-Petersburg, Russia (2022)
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Pakistan-Inde : l’ourdou en partage ? ; Pakistan-Inde : l’ourdou en partage ?: India-Pakistan : Urdu in common ?
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In: https://hal-inalco.archives-ouvertes.fr/hal-03583625 ; 2022 (2022)
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Word Order, Intonation, and Prosodic Phrasing: Individual Differences in the Production and Identification of Narrow and Wide Focus in Urdu
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Role of literature in teaching Urdu as foreign language in France ; Rôle de la littérature dans l'apprentissage de l'ourdou comme langue étrangère en France
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In: https://hal-inalco.archives-ouvertes.fr/hal-03284607 ; 2021 (2021)
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Rôle de la littérature dans l'apprentissage du urdu comme langue étrangère en France
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In: Échantillons représentatifs et discours didactiques : l’enseignement-appren-tissage des littératures étrangères ; https://hal-inalco.archives-ouvertes.fr/hal-03168134 ; Échantillons représentatifs et discours didactiques : l’enseignement-appren-tissage des littératures étrangères, Mar 2021, Paris ( en ligne), France (2021)
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On Multi-domain Sentence Level Sentiment Analysis for Roman Urdu ...
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Testing Matrix Language Framework Model On Urdu-English Online News Entity: A Creative Approach ...
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Effectiveness of Augmented Reality in Developing the Reflective Thinking Skills among Secondary School Students ...
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Effectiveness of Augmented Reality in Developing the Reflective Thinking Skills among Secondary School Students ...
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Testing Matrix Language Framework Model On Urdu-English Online News Entity: A Creative Approach ...
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WALS Online Resources for Urdu
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Role of literature in teaching Urdu as foreign language in France ; Rôle de la littérature dans l'apprentissage de l'ourdou comme langue étrangère en France
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In: https://hal-inalco.archives-ouvertes.fr/hal-03284607 ; 2021 (2021)
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Rôle de la littérature dans l'apprentissage du urdu comme langue étrangère en France
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In: Échantillons représentatifs et discours didactiques : l’enseignement-appren-tissage des littératures étrangères ; https://hal-inalco.archives-ouvertes.fr/hal-03168134 ; Échantillons représentatifs et discours didactiques : l’enseignement-appren-tissage des littératures étrangères, Mar 2021, Paris ( en ligne), France (2021)
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