Search Results for author: Suman Kalyan Maity

Found 8 papers, 1 papers with code

Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs

no code implementations10 Sep 2019 Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee

Our system is also able to predict ~ 25% of the correct case of merges within the first month of the merge and ~ 40% of the cases within a year.

Anomaly Detection TAG

DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow

no code implementations10 Mar 2019 Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee

In this paper, we develop a content-cum-user based deep learning framework DeepTagRec to recommend appropriate question tags on Stack Overflow.

TAG

Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions

no code implementations17 Nov 2018 Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee

In particular, we observe that the choice to post the question as anonymous is dependent on the user's perception of anonymity and they often choose to speak about depression, anxiety, social ties and personal issues under the guise of anonymity.

ENWalk: Learning Network Features for Spam Detection in Twitter

no code implementations11 Apr 2017 K. C. Santosh, Suman Kalyan Maity, Arjun Mukherjee

We propose ENWalk, a framework to detect the spammers by learning the feature representations of the users in the social media.

Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora

no code implementations11 Mar 2017 Suman Kalyan Maity, Aman Kharb, Animesh Mukherjee

Notably, features representing the language use patterns of the users are most discriminative and alone account for an accuracy of 74. 18%.

WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter

no code implementations31 Jan 2016 Suman Kalyan Maity, Chaitanya Sarda, Anshit Chaudhary, Abhijeet Patil, Shraman Kumar, Akash Mondal, Animesh Mukherjee

Language in social media is mostly driven by new words and spellings that are constantly entering the lexicon thereby polluting it and resulting in high deviation from the formal written version.

General Classification

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