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clustering
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 KB)
Depression
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)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
emoji
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)
Emotion 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)
Entity Summarization
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 KB)
gang member identification
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)
knowledge graph
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 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)
Mental Health
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
Natural Language Processing
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
Semi-supervised Machine Learning
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
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)
Social Media
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 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)
twitter
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)
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)