Sarcasm Detection using Cognitive Features of Visual Data by Learning Model

Author:

Hiremath Basavaraj N.,Patil Malini M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference39 articles.

1. QMOS: Query-based multi-documents opinion-oriented summarization;Abdi;Information Processing and Management,2018

2. Adrian Rosebrock. (2017). Facial landmark predictors. Retrieved February 20, 2020, from https://www.pyimagesearch.com/category/facial-landmarks/.

3. Enhancing deep learning sentiment analysis with ensemble techniques in social applications;Araque;Expert Systems with Applications,2017

4. Sarcastic sentiment detection in tweets streamed in real time: A big data approach;Bharti;Digital Communications and Networks,2016

5. Leveraging deep graph-based text representation for sentiment polarity applications;Bijari;Expert Systems with Applications,2020

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