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University of Arkansas, Fayetteville
Computer Science and Computer Engineering Undergraduate Honors Theses
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The Information Of Spam, Sawyer C. Anderson
The Information Of Spam, Sawyer C. Anderson
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper explores the value of information contained in spam tweets as it pertains to prediction accuracy. As a case study, tweets discussing Bitcoin were collected and used to predict the rise and fall of Bitcoin value. Precision of prediction both with and without spam tweets, as identified by a naive Bayesian spam filter, were measured. Results showed a minor increase in accuracy when spam tweets were included, indicating that spam messages likely contain information valuable for prediction of market fluctuations.
Tweetement: Pseudo-Relevance Feedback For Twitter Search, Kanatbay Bektemirov
Tweetement: Pseudo-Relevance Feedback For Twitter Search, Kanatbay Bektemirov
Computer Science and Computer Engineering Undergraduate Honors Theses
Microblogging platforms such as Twitter let users communicate with short messages. Due to the messages’ short content and the users’ tendency to type short queries while searching, it is particularly challenging to locate useful tweets that match user queries. The fundamental problems of word mismatch due to ambiguity are especially acute. To solve this problem, this thesis explores and compares multiple automatic query expansion methods that involve the most frequent hashtags and keywords. We built a Web service that provides real-time Twitter Search results incorporating automatic query expansion. Six pseudo-relevance feedback methods were studied and the numbers indicate that results …