Sentiment Extraction from Image-Based Memes Using Natural Language Processing and Machine Learning-Reference-Cited by-同舟云学术

Sentiment Extraction from Image-Based Memes Using Natural Language Processing and Machine Learning

Published:2020 Issue: Volume: Page:285-293
ISSN:2367-3370
Container-title:ICT Analysis and Applications
language:
Short-container-title:

Author:

Verma Devika,Chandiramani Rohit,Jain Pranay,Chaudhari Chinmay,Khandelwal Anmol,Bhattacharjee Krishnanjan,ShivaKarthik S.,Mithran Swathi,Mehta Swati,Kumar Ajai

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0630-7_28

Reference16 articles.

1. Asur S, Huberman BA (2010) Predicting the future with social media. In: WI-IAT, vol 1. IEEE, pp 492–499

2. Bai J, Li L, Lu L, Yang Y, Zeng D (2017) Real-time prediction of meme burst. IEEE. 978-1-5090-6727-5/17

3. Chandiramani R, Jain P, Chaudhari C, Khandelwal A, Verma D, Bhattacharjee K, Karthik S, Mithran S, Mehta S, Kumar A (2019) Survey and gap analysis on sentiment extraction from image based memes, presented In: International conference on science, technology, engineering and mathematics. IEEE

4. Challenges in representation learning: facial expression recognition challenge. https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data . Accessed 06 Apr 2019

5. Colbaugh R, Glass K (2011) Detecting emerging topics and trends via predictive analysis of ‘meme’ dynamics. IEEE. 978-1-61284-4577-0085-9/11

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evolving linguistic divergence on polarizing social media;Humanities and Social Sciences Communications;2024-03-15

2. Comparative Study on Sentiment Analysis in Image-Based Memes;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17

3. A Machine Learning Method for Recognizing Invasive Content in Memes;Knowledge Graphs and Semantic Web;2020