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Word Sense Disambiguation
Sanjaya Wijeratne, Bahareh Heravi. A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter. In 1st Insight Student Conference. Dublin, Ireland: University College Dublin; 2014.  (85.5 KB)
Word Embeddings
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
Sanjaya Wijeratne. A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet. College of Engineering and Computer Science. [Dayton]: Wright State University; 2018. p. 111.
Twitter Profile Identification
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. p. 685-692.  (2.02 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
Twitter Noise Filtering
Sanjaya Wijeratne, Bahareh Heravi. A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter. In 1st Insight Student Conference. Dublin, Ireland: University College Dublin; 2014.  (85.5 KB)
twitter features
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
twitris
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Street Gangs
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. p. 685-692.  (2.02 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
Statistical Equivalence
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Prateek Jain, Amit Sheth, Sanjaya Wijeratne. A Statistical and Schema Independent Approach to Identify Equivalent Properties on Linked Data. 9th International Conference on Semantic Systems (I-SEMANTICS). Graz, Austria; 2013. p. 33-40.  (1.86 MB) (635.53 KB)
social media analysis
Sanjaya Wijeratne. A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet. College of Engineering and Computer Science. [Dayton]: Wright State University; 2018. p. 111.
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. p. 685-692.  (2.02 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
Sanjaya Wijeratne, Derek Doran, Amit Sheth, Jack Dustin. Analyzing the Social Media Footprint of Street Gangs. In 2015 IEEE International Conference on Intelligence and Security Informatics (ISI). Baltimore, MD: IEEE; 2015. p. 91-96.  (1.26 MB)
Sentiment Analysis
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Semantic-Cognitive-Perceptual Computing
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)
semantic similarity
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. A Semantics-Based Measure of Emoji Similarity. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 646-653.  (2.34 MB)
SA-REST and Service discovery and Annotations and Microdata
Ajith Ranabahu, Amit Sheth, Maryam Panahiazar, Sanjaya Wijeratne. Semantic Annotation and Search for resources in the next Generation Web with SA-REST. In W3C Workshop on Data and Services Integration; 2011.
Relationship Identication
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Prateek Jain, Amit Sheth, Sanjaya Wijeratne. A Statistical and Schema Independent Approach to Identify Equivalent Properties on Linked Data. 9th International Conference on Semantic Systems (I-SEMANTICS). Graz, Austria; 2013. p. 33-40.  (1.86 MB) (635.53 KB)
Property Alignment
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Prateek Jain, Amit Sheth, Sanjaya Wijeratne. A Statistical and Schema Independent Approach to Identify Equivalent Properties on Linked Data. 9th International Conference on Semantic Systems (I-SEMANTICS). Graz, Austria; 2013. p. 33-40.  (1.86 MB) (635.53 KB)
Platform Design
Sanjaya Wijeratne, Derek Doran, Amit Sheth, Jack Dustin. Analyzing the Social Media Footprint of Street Gangs. In 2015 IEEE International Conference on Intelligence and Security Informatics (ISI). Baltimore, MD: IEEE; 2015. p. 91-96.  (1.26 MB)
Personalized Digital Health
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)
location extraction
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Linked Open Data
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Prateek Jain, Amit Sheth, Sanjaya Wijeratne. A Statistical and Schema Independent Approach to Identify Equivalent Properties on Linked Data. 9th International Conference on Semantic Systems (I-SEMANTICS). Graz, Austria; 2013. p. 33-40.  (1.86 MB) (635.53 KB)
Knowledge-enhanced NLP
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)
Knowledge-enhanced Machine Learning
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)

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