1.

Record Nr.

UNISA990000698630203316

Titolo

2.2 The Hellenistic pottery from Failaka : catalogue and plates : by Lise Hannestad

Pubbl/distr/stampa

Copenhagen, : Nordisk, 1983

ISBN

87-88415-02-3

Descrizione fisica

128 p. : ill. ; 31 cm

Collana

Jutland archaeological society publications , 0107-2854 ; 16

Disciplina

939.4

Soggetti

Oggetti di scavo - Failaka - Sec. 4.-2. a.C.

Collocazione

XI.2.B. 30/2.2(X B 259/2,II)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

In testa al frontespizio: Danish archaeological investigations on Failaka, Kuwait



2.

Record Nr.

UNINA9910299822403321

Titolo

Advances in Social Media Analysis / / edited by Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-18458-X

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (VII, 151 p. 29 illus.)

Collana

Studies in Computational Intelligence, , 1860-949X ; ; 602

Disciplina

302.231

Soggetti

Computational intelligence

Artificial intelligence

Computational Intelligence

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

Case-Studies in Mining User-Generated Reviews for Recommendation -- Mining Newsworthy Topics from Social Media -- Sentiment Analysis Using Supervised Learning with Domain-Adaptation and Sentence-Based Analysis -- Pattern-based Emotion Classification on Social Media -- Entity-based Opinion Mining from Text and Multimedia -- Predicting Emotion Labels for Chinese Microblog Texts.

Sommario/riassunto

This volume presents a collection of carefully selected contributions in the area of social media analysis. Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research. The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book. The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website. The book will be useful to research students, academics and practitioners in the area of social media analysis.  .