Name
Title | ||
|---|---|---|
Semantics extraction from social computing: a framework of reputation analysis on buzz marketing sites |
Abstract | ||
|---|---|---|
Social computing services, which enable people to easily communicate and effectively share the information through the Web, have rapidly spread recently. In the marketing research domain, buzz marketing sites as social computing services have become important in recognizing the reputation of products hold with users. This paper proposes a reputation analysis framework for the buzz marketing sites. Our framework consists of four steps: the first is to extract the topics of the product using natural language processing. The input data comprises consumer messages on buzz marketing sites. Next, important topics on the products are extracted. The third step is to detect emerging consumer needs by identifying new burst topics. Finally, the results are visualized. Based on our framework, product characteristics and emerging consumer needs are extracted and reputations are visualized. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-12038-1_16 | DNIS |
Keywords | Field | DocType |
reputation analysis framework,marketing research domain,input data,buzz marketing site,social computing service,natural language processing,consumer message,consumer need,semantics extraction,important topic,product characteristic,social computing,market research,data mining,web intelligence | Data mining,Marketing research,World Wide Web,Web intelligence,Computer science,Digital marketing,Social computing,Marketing buzz,Semantics,Product characteristics,Reputation | Conference |
Volume | ISSN | ISBN |
5999 | 0302-9743 | 3-642-12037-7 |
Citations | PageRank | References |
3 | 0.45 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takako Hashimoto | 1 | 50 | 18.47 |
| yukari shirota | 2 | 32 | 18.32 |