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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Cross-view Brain Decoding ... Oota, Subba Reddy; Arora, Jashn; Gupta, Manish. - : arXiv, 2022 BASE Show details 2 Visio-Linguistic Brain Encoding ... Oota, Subba Reddy; Arora, Jashn; Rowtula, Vijay. - : arXiv, 2022 BASE Show details 3 Predicting Clickbait Strength in Online Social Media ... The 28th International Conference on Computational Linguistics 2020; Gupta, Manish; Indurthi, Vijayasaradhi; Syed, Bakhtiyar; Varma , Vasudeva. - : Underline Science Inc., 2020 Abstract: Hoping for a large number of clicks and potentially high social shares, journalists of various news media outlets publish sensationalist headlines on social media. These headlines lure the readers to click on them and satisfy the curiosity gap in their mind. Low quality material pointed to by clickbaits leads to time wastage and annoyance for users. Even for enterprises publishing clickbaits, it hurts more than it helps as it erodes user trust, attracts wrong visitors, and produces negative signals for ranking algorithms. Hence, identifying and flagging clickbait titles is very essential. Previous work on clickbaits has majorly focused on binary classification of clickbait titles. However not all clickbaits are equally clickbaity. It is not only essential to identify a clickbait, but also to identify the intensity of the clickbait based on the strength of the clickbait. In this work, we model clickbait strength prediction as a regression problem. While previous methods have relied on traditional machine ... Keyword: Computer and Information Science; Natural Language Processing; Neural Network URL: https://underline.io/lecture/6174-predicting-clickbait-strength-in-online-social-media https://dx.doi.org/10.48448/rqz9-ge18 BASE Hide details 4 Multi-label Categorization of Accounts of Sexism using a Neural Framework ... Parikh, Pulkit; Abburi, Harika; Badjatiya, Pinkesh. - : arXiv, 2019 BASE Show details

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