1. Twitris By: Bhargabi Chakrabarti 28/03/13

2. Twitris 28/03/13 “Situation awareness application that care more about knowing what is going on so you can figure out what to do” - Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences, By Meenakshi Nagarajan, Karthik Gomadam, Amit P. Sheth, Ajith Ranabahu, Raghava Mutharaju, Ashutosh Jadhav

3. “Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data” By Ashutosh Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Ananthram, Ajith Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit Sheth. Some References

4. “Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data” By Ashutosh Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Ananthram, Ajith Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit Sheth “Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences” Meenakshi Nagarajan, Karthik Gomadam, Amit P. Sheth, Ajith Ranabahu, Raghava Mutharaju, Ashutosh Jadhav Some References

5. Overview Background Difficulties What is Twitris? Tweet Extraction Tweet Processing Semantic Context Analysis Semantic Social Data Twitris statistics Demo On-going work Reference 28/03/13

6. Background 28/03/13 With social networking and microblogging platforms, vast amount of data is being volunteered by users. From this unfiltered, realtime information social perception can be extracted.

7. Difficulties 28/03/13 Numerous tweets to process and find out what is being said about an event, where and when. Topics of discussion change over time and region. Viewpoints evolve with time or with the occurence of other events. Certain real-world events naturally have a spatial and temporal bias while some others do not.

8. What is Twitris? 28/03/13 Twitris has been developed with the vision of performing semantic-empowered analysis of a broad variety of social media content. Facilitates understanding social perception by processing event-centric data.

9. System Overview 28/03/13 Tweet extraction Tweet Processing Tweet Traffic analysis Semantic context Analysis Semantic Social Data

10. Tweet Extraction 28/03/13 Extracting topically relevant Tweets using : hashtags Set of seed keywords obtained from Google Insights. Two heuristics to enrich the set : Fetching new keywords from Google Insights periodically. TFIDF and n-gram sequence of the Tweet corpus.

11. Tweet Processing 28/03/13 Clustering Tweets based on their spatial and temporal dimensions, Spatial information : From posters' location. Temporal information : From time of the Tweet obtained through Twitter API.

12. Tweet Traffic Analysis 28/03/13 Shows an event's popularity over a period of time. A graph of tweet count is generated on a time line for each event

13. Semantic Context Analysis 28/03/13 Internal Context Analysis Analysing URLs embedded in Tweets. External context Analysis Context obtained from external sources. Mined Internal Context Analysis Sentiment analysis using machine learning techniques(lexicon based classification algorithm). The entity-relationship graph is created using the semantically annotated DBpedia entities.

14. Semantic Social Data 28/03/13 Tweets are semantically enriched with annotations corresponding to the three types of context. Data is exposed in RDF format and published on LOD

15. Twitris 2.0 Statistics 28/03/13

16. Demo 28/03/13

17. On-going Work 28/03/13 Enabling Twitris to answer time sensitive questions. Twitris is being extended with Twarql for real- time support. Being adapted for cloud platform to increase scalability. Currently it is being integrated with other applications like ushahidi.org for crisis management.

18. References 28/03/13 Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data” By Ashutosh Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Ananthram, Ajith Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit Sheth Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences By Meenakshi Nagarajan, Karthik Gomadam, Amit P. Sheth, Ajith Ranabahu, Raghava Mutharaju, Ashutosh Jadhav http://knoesis.org/projects/twitris http://twitris.knoesis.org/indiarain2013/real-time/ http://www.opencalais.com/category/gallery-tags/open-calais-demo

19. Thank You!! 28/03/13