Journal ArticleDOI
Multimodal sentimental analysis for social media applications: A comprehensive review
Reads0
Chats0
TLDR
This work aims to present a survey of recent developments in analyzing the multimodal sentiments (involving text, audio, and video/image) which involve human–machine interaction and challenges involved in analyzing them.Abstract:
The analysis of sentiments is essential in identifying and classifying opinions regarding a source material that is, a product or service. The analysis of these sentiments finds a variety of applications like product reviews, opinion polls, movie reviews on YouTube, news video analysis, and health care applications including stress and depression analysis. The traditional approach of sentiment analysis which is based on text involves the collection of large textual data and different algorithms to extract the sentiment information from it. But multimodal sentimental analysis provides methods to carry out opinion analysis based on the combination of video, audio, and text which goes a way beyond the conventional text‐based sentimental analysis in understanding human behaviors. The remarkable increase in the use of social media provides a large collection of multimodal data that reflects the user's sentiment on certain aspects. This multimodal sentimental analysis approach helps in classifying the polarity (positive, negative, and neutral) of the individual sentiments. Our work aims to present a survey of recent developments in analyzing the multimodal sentiments (involving text, audio, and video/image) which involve human–machine interaction and challenges involved in analyzing them. A detailed survey on sentimental dataset, feature extraction algorithms, data fusion methods, and efficiency of different classification techniques are presented in this work.read more
Citations
More filters
Journal ArticleDOI
Plant Leaf Disease Detection using Computer Vision and Machine Learning Algorithms
TL;DR: In this article , the authors proposed a method to detect the leaf diseases in the tomato plant using support vector machine (SVM), convolutional neural network (CNN), and K-Nearest Neighbor (K-NN).
Journal ArticleDOI
Image classification and prediction using transfer learning in colab notebook
TL;DR: The result shows that MobileNetV2 performance is relatively better than other pre trained models and in the future enhancement transfer learning may be used for natural language processing to obtain highest accuracy.
Journal ArticleDOI
State of the art: a review of sentiment analysis based on sequential transfer learning
Journal ArticleDOI
Social media data analytics for business decision making system to competitive analysis
TL;DR: In this paper, a business decision making system (BDMS) is proposed to develop business using social media data analytics, which provides a clear understanding of the key principles, issues and functionality, and big social data developments.
Journal ArticleDOI
Big data-assisted social media analytics for business model for business decision making system competitive analysis
TL;DR: In this article, a Big Data-assisted Social Media Analytics for Business (BD-SMAB) model is proposed to increase awareness and affect decision-makers in marketing strategies.
References
More filters
Journal ArticleDOI
Sarcasm Detection For Sentiment Analysis in Indonesian Tweets
TL;DR: In this paper, detection of sarcasm is applied to Indonesian tweets and sentiment analysis with sarcasm detection improves the accuracy of sentiment analysis about 5.49%.
Journal ArticleDOI
Sentiment Analysis on Microblogging with K-Means Clustering and Artificial Bee Colony
Korawit Orkphol,Wu Yang +1 more
TL;DR: Microblogging is a type of blog used by people to express their opinions, attitudes, and feelings toward entities with a short message and this message is easily shared through the network of bloggers.
Journal ArticleDOI
Sentiment Analysis of Movie Reviews using POS tags and Term Frequencies
TL;DR: A novel approach for classification of online movie reviews using parts of speech and machine learning is presented.
Proceedings ArticleDOI
Collective Sentiment Mining of Microblogs in 24-Hour Stock Price Movement Prediction
Feifei Xu,Vlado Keelj +1 more
TL;DR: The results of sentiment analysis are used in predicting stock price movement (up or down), and it is found that users' activity on Stock Twits overnight positively correlates with stock trading on the next business day.
Journal ArticleDOI
Neural Network-Based Architecture for Sentiment Analysis in Indian Languages
TL;DR: An approach to determine the sentiments of tweets in one of the Indian languages (Hindi, Bengali, and Tamil) using nine sequential models using three different neural network layers with optimum parameter settings to avoid over-fitting and error accumulation is proposed.
Related Papers (5)
Sentiment Analysis of Social Media via Multimodal Feature Fusion
Deep Learning Techniques for Polarity Classification in Multimodal Sentiment Analysis
P. D. Mahendhiran,S. Kannimuthu +1 more