| Title: | Sentiment Analysis in Social Networks |
| Authors: | Federico alberto Pozzi ; Elisabetta Fersini ; Enza Messina ; Bing Liu |
| Material Type: | Books |
| Publisher: | San Francisco (Calif.) : Morgan Kaufmann Publishers, 2016 |
| Article on page: | XIX, 263 p. |
| ISBN (or other code): | 978-0-12-804412-4 |
| Languages: | English |
| Class number: | 302.302 85 |
| Tags: | Social networks--Data processing ; Computational linguistics ; Discourse analysis ; Communication--Network analysis |
| Abstract: | The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. |
Copies (1)
| Barcode | Call number | Media type | Location | Section | Status |
|---|---|---|---|---|---|
| 305580 | 302.30285 POZ S | Book | Royal Military Academy | Mathematics | Available |
