Information Processing in Searching Tweets

Article Preview

Abstract:

Tweeter, which is very popular as a micro blogging services, offers numerous of information. It is necessary to find more useful information with less effort. This paper purposed a method of information processing when collecting the latest tweets by specific keywords, such as user screen name, keywords of tweets, username and location. For each query, no more than 200 latest tweets will be gathered. During the implementation of information processing, Twitter Search API [1] is adopted to collect tweets. Once those tweets are collected, they will be stored into database firstly which makes sure the database is always up to date. Tweets will be fetched from database when there is a query.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1549-1552

Citation:

Online since:

April 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] H. Kwak., C. Lee, H. Park, and S. Moon, What is Twitter, a social network or a news media?, Proceedings of the 19th International Conference on World wide web, pp.591-600, (2010).

DOI: 10.1145/1772690.1772751

Google Scholar

[2] B. J. Jansen, M. Zhang, K. Sobel, and A. Chowdury, Twitter power: Tweets as electronic word of mouth, Journal of the American society for information science and technology, 60(11), pp.2169-2188, (2009).

DOI: 10.1002/asi.21149

Google Scholar

[3] B. Pan, J. C. Crotts, and B. Muller, Developing Web-Based Tourist Information Tools Using Google Map, ENTER, pp.503-512, (2007).

DOI: 10.1007/978-3-211-69566-1_46

Google Scholar

[4] J. J. Garrett, Ajax: A new approach to web applications, (2005).

Google Scholar

[5] D. Goodman, M. Morrison, and B. Eich, Javascript® bible, John Wiley & Sons, Inc, (2007).

Google Scholar

[6] Y. J. Wu, Y. Wang, and D. Qian, A Google-Map-based arterial traffic information system, In Intelligent Transportation Systems Conference, IEEE, pp.968-973, (2007).

DOI: 10.1109/itsc.2007.4357678

Google Scholar

[7] N. Ford, Web developer. com guide to building intelligent Web sites with JavaScript, John Wiley & Sons, Inc., (1998).

Google Scholar

[8] T. YANG, and L. WANG, Telecommunical Base Station Information System Based on Google Map API, Geospatial Information, 4, 009, (2008).

Google Scholar

[9] D. Crockford, JavaScript: the good parts", O, Reilly, (2008).

Google Scholar

[10] J. Berthold, M. Dieterle, and R. Loogen, Implementing parallel Google map-reduce in Eden, In Euro-Par 2009 Parallel Processing, Springer Berlin Heidelberg, pp.990-1002, (2009).

DOI: 10.1007/978-3-642-03869-3_91

Google Scholar

[11] P. X. W. Xiao, Digital campus map publishing based on Google Map API, Journal of Geomatics, 1, 013, (2010).

Google Scholar

[12] F. Rousseaux, and K. Lhoste, Rapid software prototyping using Ajax and Google Map API, In Advances in Computer-Human Interactions, Second International Conferences on February, pp.317-323, IEEE, (2009).

DOI: 10.1109/achi.2009.68

Google Scholar

[13] J. Hunter, and W. Crawford, Java servlet programming", O, Reilly, (2010).

Google Scholar

[14] D. Coward, and Y. Yoshida, Java servlet specification version 2. 3, Sun Microsystems, Nov, (2003).

Google Scholar