Sentiment analysis with Twitter
| Autor: | Eyüp Sercan AKGÜL, Caner ERTANO, Banu DİRİ |
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| Jazyk: | English<br />Turkish |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Pamukkale University Journal of Engineering Sciences, Vol 22, Iss 2, Pp 106-110 (2016) |
| Druh dokumentu: | article |
| ISSN: | 1300-7009 2147-5881 |
| Popis: | Sentimental Twitter software is parsing, analyzing and reporting Twitter data, giving service to individuals and corporate users via its user friendly graphical user interface. Each tweet is classified as positive, negative or neutral in Sentimental Twitter. In this study, both lexicon and n-gram method has been used to perform and implement two different methods. As a result the lexicon method has been measured more performance than the n-gram method. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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