tweet-detector

Outline With the rapid growth in the popularity of social media and micro-blogs, health information users are often overwhelmed by the amount of information or are unable to find the relevant information. This research project aims to make information retrieval related to Twitter tweets faster and more accurate. Our approach uses query expansion techniques to associate query terms with the most similar terms and to find the most related tweets. Our overall purpose is to develop a Twitter search engine and discover the trend in health information. Background This page has more information on background. An important reference is this book, which is available online: Manning, C. D. et al. (2008). Introduction to Information Retrieval. Cambridge University Press. Get star

RunTweetDetector
tweets
TweetDictionary
tests
scripts
org
META-INF
main
index
evaluation
com
help_file.txt
TweetsDetector.jar
stopWordList.txt
search.prop.result
search.prop
queries.txt
langid-leipzig.classifier
.project
.classpath