IIIT-Delhi Institutional Repository

Browsing by Author "Chakraborty, Tanmoy (Advisor)"

Browsing by Author "Chakraborty, Tanmoy (Advisor)"

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  • Mukherjee, Arpan; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2018-06)
    Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, more productive studies of social interactions, and improved design of content distribution ...
  • Chetan, Aditya; Joshi, Brihi; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2019-04-15)
    Twitter, as a micro-blogging service has been increasingly used to express opinions, promote brands and share news. Often, the popularity of a tweet is denoted by how other users of the platform are reacting to it. Retweets ...
  • Dhawan, Sarthika; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2019-04-15)
    Online reviews play a crucial role in deciding the quality before purchasing any product. Unfortunately, scammers often take advantage of online review forums by writing fraud reviews to promote/demote certain products. ...
  • Dabas, Karan; Kumaraguru, Ponnurangam (Advisor); Chakraborty, Tanmoy (Advisor); Shah, Rajiv Ratn (Advisor) (IIITD-Delhi, 2018-04-18)
    The rapid growth in the amount of fake news on instant messaging platforms and social media is a very serious concern in our society. Moreover, the ubiquitous availability of smartphones, affordable network infrastructure, ...
  • Thukral, Deepak; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2018-04-18)
    Automatic estimation of relative difficulty of a pair of questions is an important and challenging problem in community question answering (CQA) services. There are limited studies which addressed this problem. Past studies ...
  • Pandey, Adesh; Thukral, Deepak; Gupta, Rishabh; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2017-11-16)
    Given a question on a crowd sourced Q&A platform, we tried to gauge the difficulty of the question. Earlier, we tried various NLP based techniques for this purpose. Now, we tried various graph models in order to model ...
  • Kataria, Tushar; Agarwal, Vasu; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2018-11-26)
    The problem of stock market predictability has intrigued both academia and industry. In this thesis, we try to empirically predict the stock market using models from deep natural language processing. We review existing ...
  • Sarika; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (2018-06)
    Community detection has gained immense popularity in recent years. Real world networks consist of millions of nodes and edges. Groups of nodes exhibit interesting characteristics, whoseknowledge can be of great help in ...

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