Classification of Tweets Using Dictionary and Lexicon Based Approaches
| Autor: | K. Jayamalini, M. Ponnavaikko |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
World Wide Web
News service Event (computing) Computer science 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 020201 artificial intelligence & image processing Potential source Social media 02 engineering and technology Product (category theory) Lexicon |
| Zdroj: | Intelligent Data Communication Technologies and Internet of Things ISBN: 9783030340797 |
| DOI: | 10.1007/978-3-030-34080-3_40 |
| Popis: | Online social media is pervasive in nature. It allows people to use short text messages, images, audios and videos to express their opinions and sentiments about products, events and other people. For example, Twitter is an online social networking and news service where users post and interact with small and short messages, called “tweets”. Therefore, nowadays social media become a potential source for business and celebrities to find people’s sentiments and opinions about a particular event or product or themselves. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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