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Jun 28, 2012 - Twitter, Social Networks, Community Detection, Graph Mining. 1. INTRODUCTION ... category, we selected the six most popular celebrities based on their number of ... 10. 12. 14. 16. 18. Control Group. Film & TVMusic Hosting News Bloggin
select the responses which are best matches to the user input ..... the last response when the bot talked about free ... User> go and take control the website that I.
Oct 24, 2011 - It contains two steps: detecting tweets that contain ques- tions (we call them ... empirical study,. 2http://blog.twitter.com/2011/03/numbers.html.
their social posts, less work is dedicated to identifying implicit interests, which are also very important for building .... dedicated to inferring implicit interests of the users. Some authors have shown interest in ... In Definition 2, For instanc
ation metrics such as those used for evaluating ma- chine translation systems such as BLEU (Papineni et al., 2002). These may be useful for evaluating how similar our generated candidates are to real tweets from the user or trending topic. Automated
Address for correspondence: Lars F. Niklasson, Department of Computer Science, University of. Skövde, S-54128, SWEDEN. Email: [email protected]. Tim van Gelder, Philosophy Program,. Research School of Social Sciences, Australian National University, C
Web and Social Media (ICWSM 2016). 655 ... our data sets all accounts that have no friends and followers or haven't posted a .... after our initial data gathering.
with the âANLP-Course-Final-Reportâ tag of our ... API (with the AND operator) to search over all fields in ..... Computer Security Applications Conference, pages.
consumers prefer one-stop shopping and that their choice is essentially restricted to in store products once they have ... explicitly modeling how brand manufacturers wholesale pricing moves are linked by some form of .... each retailer maximizes cat
Laboratory for Systems, Software and Semantics (LS. 3. ),. Ryerson University, Toronto, Canada ... in order to compare our work with the state of the art. This paper is organized as follows: In the next .... our collection of tweets M with concepts d
2Victoria University of Wellington, New Zealand ... rooted from a source post rather than the parse tree ... be seen that when a post denies the false rumor,.
Average Data from. International Cities. Data from BPS, and. Recent studies. Method Multiple linear variables Energy Modelling. Analysis Growth, VKT (veh.kilo ...
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different time periods (1, 3, 5, and 7 days). Our .... this way, it is calculated to be Good, OK, or Bad based on .... than trust the results of the API call that might.
to apply a lot of filters and parameters, including keeping our inventory blind, while ... might impact the brand image of his company's websites. âThe ad quality ...
