Cross-Media Learning for Image Sentiment Analysis in the Wild

2017 ◽  
Author(s):  
Lucia Vadicamo ◽  
Fabio Carrara ◽  
Andrea Cimino ◽  
Stefano Cresci ◽  
Felice Dell'Orletta ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
Cross Media ◽  
In The Wild ◽  
Media Learning

scholarly journals A Cross-Media Retrieval Method Based on Semisupervised Learning and Alternate Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Junzheng Li ◽  
Wei Zhu ◽  
Yanchun Yang ◽  
Xiyuan Zheng
Keyword(s):  
Big Data ◽  
Optimization Method ◽  
Semisupervised Learning ◽  
Multimedia Data ◽  
Internet Technology ◽  
Retrieval Method ◽  
Cross Media ◽  
Media Learning ◽  
Public Datasets ◽  
Alternate Optimization

With the continuous advancement in Internet technology, we are gradually stepping into an era of big data where a large amount of multimedia data is produced every day at any given time. In order to properly utilize these data, the research on big data is also constantly evolving. Cross-media retrieval is a prime example, aiming at retrieving various forms of data, for example, text, image, audio, video, and other forms. The most difficult task for cross-media retrieval lies in the potential correlation between different modalities data and how to overcome the semantic gap. This paper proposes a cross-media retrieval method based on semisupervised learning and alternate optimization (SMDCR) to overcome the abovementioned difficulties, thereby improving the retrieval accuracy. The main advantage of this method is to make full use of the degree of correlation between the semantic information of the labeled data and unlabeled data. Simultaneously, we combine the linear regression term, correlation analysis term, and feature selection term into a joint cross-media learning framework. Furthermore, the projection matrices are trained with the alternate optimization method. Finally, experimental results on two public datasets demonstrate the effectiveness of the proposed method.

Guest editorial: Multimodal sentiment analysis and mining in the wild

2017 ◽  
Vol 65 ◽  
pp. 1-2 ◽  
Author(s):  
Mohammad Soleymani ◽  
Björn Schuller ◽  
Shih-Fu Chang
Keyword(s):  
Sentiment Analysis ◽  
Guest Editorial ◽  
In The Wild ◽  
Multimodal Sentiment Analysis

scholarly journals Cross-Media Sentiment Analysis on German Blogs

2021 ◽  
Author(s):  
Nina N. Zahn ◽  
Greice P. Dal Molin ◽  
Soraia R. Musse
Keyword(s):  
Social Interactions ◽  
Sentiment Analysis ◽  
Ground Truth ◽  
Learning Technologies ◽  
Cross Media ◽  
Human Perceptions ◽  
Social Media Platforms ◽  
The Media ◽  
Performance Results ◽  
Media Sentiment

Social interactions have changed in recent years. People post their thoughts, opinions and feelings on social media platforms more often. Due to the increase in the amount of data on the internet, it is impracticable to carry out the sentiment analysis manually, requiring automation of the process. In this work, we present the corpus Cross-Media German Blog (CGB) which consists of German blogs with feelings in the domain of images, texts and posts (Ground Truth), classified according to human perceptions. We apply existing Machine Learning technologies and lexicons to the corpus to detect the feelings (negative, neutral or positive) of the images and texts and compare the results with the GT. We examined contradictory posts, when the image and text classified by humans in the same post had diverging feelings. The comparison of this article with the analysis of sentiment among the media of Brazilian blogs finds its justification for performance results in cultural differences, since, throughout this work, Brazil is classified as indulgent and Germany as a restrained country.

A cross-media public sentiment analysis system for microblog

2014 ◽  
Vol 22 (4) ◽  
pp. 479-486 ◽  
Author(s):  
Donglin Cao ◽  
Rongrong Ji ◽  
Dazhen Lin ◽  
Shaozi Li
Keyword(s):  
Sentiment Analysis ◽  
Cross Media ◽  
Public Sentiment ◽  
Analysis System

scholarly journals Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild

2021 ◽  
pp. 92-106
Author(s):  
Rajdeep Mukherjee ◽  
Shreyas Shetty ◽  
Subrata Chattopadhyay ◽  
Subhadeep Maji ◽  
Samik Datta ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
In The Wild

Learning in Cross-Media Environment

2017 ◽  
Vol 12 (4) ◽  
pp. 48-57
Author(s):  
Stefano Bonometti
Keyword(s):  
Professional Development ◽  
Learning Environment ◽  
Media Environment ◽  
The Real ◽  
Cross Media ◽  
Professional Development For Teachers ◽  
Professional Development Of Teachers ◽  
Practice Gap ◽  
Media Learning ◽  
Definition Of

The aim of this paper to reflect on the definition of a cross-media learning environment by analyzing two training approaches to the professional development of teachers. The first approach centers around curricular internships as training for future teachers, the second focuses on professional development for teachers in service. The aim of the author's analysis was to identify the factors that contribute to overcoming the 'real' vs. 'online' and 'theory' vs. “practice” gap, opting for an integrated cross-media learning environment.

Cross-Media Sentiment Analysis in Brazilian Blogs

2019 ◽  
pp. 492-503
Author(s):  
Greice P. Dal Molin ◽  
Henrique D. P. Santos ◽  
Isabel H. Manssour ◽  
Renata Vieira ◽  
Soraia R. Musse
Keyword(s):  
Sentiment Analysis ◽  
Cross Media ◽  
Media Sentiment
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