ICWSM
2009
13 years 5 months ago
2009
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
ICWSM
2009
13 years 5 months ago
2009
Current news interfaces are largely driven by recent information, even though many events are better interpreted in context of previous related events. To address this problem, we...
ICWSM
2009
13 years 5 months ago
2009
Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to stu...
ICWSM
2009
13 years 5 months ago
2009
One of the most interesting challenges in the area of social computing and social media analysis is the so-called community analysis. A well known barrier in cross-community (mult...
ICWSM
2009
13 years 5 months ago
2009
Analysis of a comprehensive set of features extracted from blogs for prediction of movie sales is presented. We use correlation, clustering and time-series analysis to study which...
ICWSM
2009
13 years 5 months ago
2009
The present study demonstrates how the emotional content of search terms and their eventual results affects the breadth of a users' search for information. We observed the qu...
ICWSM
2009
13 years 5 months ago
2009
The goal of this paper is to cross-lingually analyze multilingual blogs collected with a topic keyword. The framework of collecting multilingual blogs with a topic keyword is desi...
ICWSM
2009
13 years 5 months ago
2009
Social sites are extremely popular among users but user interactions in most sites revolve around relatively simple tasks, such as uploading resources, tagging and poking friends....
ICWSM
2009
13 years 5 months ago
2009
How do blogs produce posts? What local, underlying mechanisms lead to the bursty temporal behaviors observed in blog networks? Earlier work analyzed network patterns of blogs and ...
ICWSM
2009
13 years 5 months ago
2009
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...