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Found 9 papers, 0 papers with code
Identifying COVID-19 Fake News in Social Media
The evolution of social media platforms have empowered everyone to access information easily.
Predicting Clickbait Strength in Online Social Media
It is not only essential to identify a click-bait, but also to identify the intensity of the clickbait based on the strength of the clickbait.
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter
This paper describes our system (Fermi) for Task 5 of SemEval-2019: HatEval: Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter.
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums
This information is highly useful in segregating factual questions from non-factual ones which highly helps in organizing the questions into useful categories and trims down the problem space for the next task in the pipeline for fact evaluation among the available answers.
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings
This paper describes our system (Fermi) for Task 6: OffensEval: Identifying and Categorizing Offensive Language in Social Media of SemEval-2019.
Fermi at SemEval-2019 Task 4: The sarah-jane-smith Hyperpartisan News Detector
This paper describes our system (Fermi) for Task 4: Hyper-partisan News detection of SemEval-2019.
EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text
happiness, anger, sadness in the context of a text conversation.
Clickbait detection using word embeddings
Clickbait is a pejorative term describing web content that is aimed at generating online advertising revenue, especially at the expense of quality or accuracy, relying on sensationalist headlines or eye-catching thumbnail pictures to attract click-throughs and to encourage forwarding of the material over online social networks.
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language
This paper describes our system for detection and interpretation of English puns.
