Result Diversification for Tweet Search

Date

2014-10-14

Author

Ozsoy, Makbule Gulcin
Onal, Kezban Dilek
Altıngövde, İsmail Sengör

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

169
views

0
downloads

Being one of the most popular microblogging platforms, Twitter handles more than two billion queries per day. Given the users' desire for fresh and novel content but their reluctance to submit long and descriptive queries, there is an inevitable need for generating diversified search results to cover different aspects of a query topic. In this paper, we address diversification of results in tweet search by adopting several methods from the text summarization and web search domains. We provide an exhaustive evaluation of all the methods using a standard dataset specifically tailored for this purpose. Our findings reveal that implicit diversification methods are more promising in the current setup, whereas explicit methods need to be augmented with a better representation of query sub-topics.

Subject Keywords

Microblogging, Tweet Search, Novelty, Diversity

URI

https://hdl.handle.net/11511/55586

Conference Name

15th International Conference on Web Information Systems Engineering (WISE)

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

User Interest Modeling in Twitter with Named Entity Recognition Karatay, Deniz; Karagöz, Pınar (null; 2015-05-18) Considering wide use of Twitter as the source of information, reaching an interesting tweet for a user among a bunch of tweets is challenging. In this work we propose a Named Entity Recognition (NER) based user profile modeling for Twitter users and employ this model to generate personalized tweet recommendations. Effectiveness of the proposed method is shown through a set of experiments. Copyright © 2015 held by author(s).
Collective classification of user emotions in twitter İleri, İbrahim; Karagöz, Pınar; Department of Computer Engineering (2015) The recent explosion of social networks has generated a big amount of data including user opinions about varied subjects. For classifying the sentiment of user postings, many text-based techniques have been proposed in the literature. As a continuation of sentiment analysis, there are also studies on the emotion analysis. Because of the fact that many different emotions are needed to be dealt with at this point, the problem becomes much more complicated. In this thesis, a different user-centric approach is ...
Sentiment Enhanced Hybrid TF-IDF for Microblogs Simsek, Atakan; Karagöz, Pınar (2014-12-05) As the usage of social networks grows day by day, a single person can reach hundreds or thousands of people in a minute. Microblogging is the new era of social communication, which can be used anywhere thanks to mobile phones. People spend hours and use social networks extensively, expressing their feelings, interests and dislikes. If this data can be extracted and analyzed effectively; useful items, news or people can be recommended. There are high number of studies that extract keywords from texts in orde...
Real-Time Lexicon-Based Sentiment Analysis Experiments On Twitter With A Mild (More Information, Less Data) Arslan, Yusuf; Birtürk, Ayşe Nur; Djumabaev, Bekjan; Kucuk, Dilek (2017-12-14) Sentiment analysis of Twitter data is a well studied area, however, there is a need for exploring the effectiveness of real-time approaches on small data sets that only include popular and targeted tweets. In this paper, we have employed several sentiment analysis techniques by using dynamic dictionaries and models, and performed some experiments on limited but relevant datasets to understand the popularity of some terms and the opinion of users about them. The results of our experiments are promising.
Wireless and mobile security Bicakci, K; Baykal, Nazife (2001-09-08) User mobility is becoming an important and popular feature in today's network. This is especially evident in wireless environment. Security is one of the challenging problems introduced by mobile and wireless networking. There are many aspects to the provisioning of security that need to be addressed as part of the development and deployment of future wireless mobile networks. This paper discusses a wide range of issues related to security in wireless and mobile networking and reviews current state-of-the-a...

Citation Formats

M. G. Ozsoy, K. D. Onal, and İ. S. Altıngövde, “Result Diversification for Tweet Search,” Thessaloniki, GREECE, 2014, vol. 8787, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55586.