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Content-Based GeoLocation Detection for Placing Tweets Pertaining To Trending News on Map
| Content Provider | Semantic Scholar |
|---|---|
| Author | Khanwalkar, Saurabh Seldin, M. Srivastava, Amit Kumar, Anoop Colbath, Sean |
| Copyright Year | 2013 |
| Abstract | In the last few years, social media services such as Twitter have proven to provide first-line information on current news events such as civil unrest, protests, elections, etc. The limited availability of self-identified geolocation information makes it challenging to place such current and trending news on the globe. In this paper, we demonstrate a novel approach for contentbased geo-location of Arabic and English language tweets by collating contextual tweets into a document using a user-tweeting-frequency based temporal window. We compute the distances of the content-based geo-located tweets against the device-based geospatial points provided natively via Twitter API as well as the Twitter User Profile based locations. We show that content-based geo-location detection provides an effective way of geo-localizing trending news topics, geo-political entities and Hashtags. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ecmlpkdd2013.org/wp-content/uploads/2013/09/muse2013_submission_3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |