Opinions Analysis in Social Networks for Cultural Heritage Applications

被引：2

作者：

Amato, Flora ^{[1
]}

Cozzolino, Giovanni ^{[1
]}

Di Martino, Sergio ^{[1
]}

Mazzeo, Antonino ^{[1
]}

Moscato, Vincenzo ^{[1
]}

Picariello, Antonio ^{[1
]}

Romano, Sara ^{[1
,2
]}

Sperli, Giancarlo ^{[1
]}

机构：

[1] Univ Naples Federico II, DIETI Dept Elect Engn & Informat Technol, Naples, Italy

[2] Complesso Univ Monte St Angelo, CeRICT Scrl Ctr Reg Informat Commun Technol, Naples, Italy

来源：

INTELLIGENT INTERACTIVE MULTIMEDIA SYSTEMS AND SERVICES 2016 | 2016年 / 55卷

关键词：

D O I：

10.1007/978-3-319-39345-2_51

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Social media provide a great amount of valuable information in the form of messages posted by users. Information extracted from posts can be considered like features giving insights about the preferences of users towards certain events. These features can be used to generate recommendations looking forward for upcoming events they might find interesting. In this work we present system for opinion analysis from tweets and recommendation of cultural heritage events. At this aim, we detect the events of interest from Tweets and propose a methodology for associating a sentiment degree with a tweet using NLP techniques.

引用

页码：577 / 586

页数：10

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