Analyzing online discussion for marketing intelligence

14th International World Wide Web Conference, WWW2005

Volumn , Issue , 2005, Pages 1172-1173

  Glance, Natalie ^a   Hurst, Matthew ^a   Nigam, Kamal ^a   Siegler, Matthew ^a   Stockton, Robert ^a   Tomokiyo, Takashi ^a  

^a Intelliseek Applied Research Center   (United States)

Author keywords

Computational linguistics; Content systems; Information retrieval; Machine learning; Text mining

Indexed keywords

INTERACTIVE ANALYSIS; MACHINE-LEARNING; MESSAGE BOARDS; ONLINE DISCUSSIONS; TEXT CLASSIFICATION; TEXT DATA MINING; WEBLOGS;

COMPUTATIONAL LINGUISTICS; CONSUMER PRODUCTS; DATA MINING; LEARNING SYSTEMS; MARKETING; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING; WORLD WIDE WEB;

INFORMATION RETRIEVAL;

EID: 33747178240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1062745.1062924     Document Type: Conference Paper

References (2)

1. K. D. Bollacker, S. Lawrence, and C. L. Giles. CiteSeer: An autonomous web agent for automatic retrieval and identification of interesting publications. In Agents '98, pages 116-123, 1998.
2. T. Nasukawa, M. Morohashi, and T. Nagano. Customer claim mining: Discovering knowledge in vast amounts of textual data. Technical report, IBM Research, Japan, 1999.