Sentiment Analysis for Telugu Text Using Cuckoo Search Algorithm

Autor:	M. Seshashayee, G. Janardana Naidu
Rok vydání:	2021
Předmět:	Agglutinative language Microblogging Computer science media_common.quotation_subject Sentiment analysis k-means clustering Telugu language.human_language Feeling language Unsupervised learning Social media Cuckoo search Algorithm media_common
Zdroj:	Smart Computing Techniques and Applications ISBN: 9789811615016
DOI:	10.1007/978-981-16-1502-3_26
Popis:	In recent times, most of the microblogging applications have started allowing people to express their opinions and feeling toward entities in regional languages. This resulted in good demand for sentiment analysis in regional languages. Telugu is a morphologically rich agglutinative south Indian language with nearly 100 million native speakers. In this paper, various unsupervised machine learning algorithms are explored for the classification of Telugu text into negative or positive classes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::81c052c012f8c595e445642aa9c6243a https://doi.org/10.1007/978-981-16-1502-3_26 Zobrazit plný text záznamu