Code-mixed language is very commonly used in today's multilingual society. It is the phenomenon of mixing the syntax and vocabulary of many languages in single sentence. Sentiment analysis of code-mixed language aims at identifying the polarity value of the sentence. This book mainly focuses on sentiment analysis of code-mixed Tweets consisting of words from Hindi and English language and it also contains other symbols. The developed system is used to detect the polarity/sentiment value of a tweet where the value of polarity can be positive, negative or neutral. Various experiments are carried out on a dataset of Tweets using different models. Results of different models are evaluated and compared.
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Sukhpreet Kaur has completed her MPhil from Department of Computer Science, Punjabi University, Patiala. She is NET qualified and currently working as Assistant Programmer in Jagat Guru Nanak Dev Punjab State Open University, Patiala.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Code-mixed language is very commonly used in today's multilingual society. It is the phenomenon of mixing the syntax and vocabulary of many languages in single sentence. Sentiment analysis of code-mixed language aims at identifying the polarity value of the sentence. This book mainly focuses on sentiment analysis of code-mixed Tweets consisting of words from Hindi and English language and it also contains other symbols. The developed system is used to detect the polarity/sentiment value of a tweet where the value of polarity can be positive, negative or neutral. Various experiments are carried out on a dataset of Tweets using different models. Results of different models are evaluated and compared. 84 pp. Englisch. Bestandsnummer des Verkäufers 9786206183556
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kaur SukhpreetSukhpreet Kaur has completed her MPhil from Department of Computer Science, Punjabi University, Patiala. She is NET qualified and currently working as Assistant Programmer in Jagat Guru Nanak Dev Punjab State Open Unive. Bestandsnummer des Verkäufers 947581809
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Code-mixed language is very commonly used in today's multilingual society. It is the phenomenon of mixing the syntax and vocabulary of many languages in single sentence. Sentiment analysis of code-mixed language aims at identifying the polarity value of the sentence. This book mainly focuses on sentiment analysis of code-mixed Tweets consisting of words from Hindi and English language and it also contains other symbols. The developed system is used to detect the polarity/sentiment value of a tweet where the value of polarity can be positive, negative or neutral. Various experiments are carried out on a dataset of Tweets using different models. Results of different models are evaluated and compared.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Bestandsnummer des Verkäufers 9786206183556
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Code-mixed language is very commonly used in today's multilingual society. It is the phenomenon of mixing the syntax and vocabulary of many languages in single sentence. Sentiment analysis of code-mixed language aims at identifying the polarity value of the sentence. This book mainly focuses on sentiment analysis of code-mixed Tweets consisting of words from Hindi and English language and it also contains other symbols. The developed system is used to detect the polarity/sentiment value of a tweet where the value of polarity can be positive, negative or neutral. Various experiments are carried out on a dataset of Tweets using different models. Results of different models are evaluated and compared. Bestandsnummer des Verkäufers 9786206183556
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Taschenbuch. Zustand: Neu. Sentiment Analysis of Code-Mixed Language | Sukhpreet Kaur | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206183556 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 127259687
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