Sentiment Analysis and Summarization of Facebook Posts on News Media

2022 ◽  
pp. 142-154
Author(s):  
Yin-Chun Fung ◽  
Lap-Kei Lee ◽  
Kwok Tai Chui ◽  
Gary Hoi-Kit Cheung ◽  
Chak-Him Tang ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
News Media ◽  
Cost Effective ◽  
Ease Of Use ◽  
Modern World ◽  
Media Companies ◽  
User Comments ◽  
Human Effort ◽  
Journalism Students ◽  
Facebook Pages

Social media has become part of daily life in the modern world. News media companies (NMC) use social network sites including Facebook pages to let net users keep updated. Public expression is important to NMC for making valuable journals, but it is not cost-effective to collect millions of feedback by human effort, which can instead be automated by sentiment analysis. This chapter presents a mobile application called Facemarize that summarizes the contents of news media Facebook pages using sentiment analysis. The sentiment of user comments can be quickly analyzed and summarized with emotion detection. The sentiment analysis achieves an accuracy of over 80%. In a survey with 30 participants including journalists, journalism students, and journalism graduates, the application gets at least 4.9 marks (in a 7-point Likert scale) on the usefulness, ease of use, ease of learning, and satisfaction with a mean reliability score of 3.9 (out of 5), showing the effectiveness of the application.

A sentiment analysis of who participates, how and why, at social media sport websites

2016 ◽  
Vol 40 (6) ◽  
pp. 814-833 ◽  
Author(s):  
Marina Bagić Babac ◽  
Vedran Podobnik
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Men And Women ◽  
Male And Female ◽  
Content Type ◽  
Premier League ◽  
User Comments ◽  
Football Clubs ◽  
Significant Difference ◽  
Facebook Pages

Purpose Due to an immense rise of social media in recent years, the purpose of this paper is to investigate who, how and why participates in creating content at football websites. Specifically, it provides a sentiment analysis of user comments from gender perspective, i.e. how differently men and women write about football. The analysis is based on user comments published on Facebook pages of the top five 2015-2016 Premier League football clubs during the 1st and the 19th week of the season. Design/methodology/approach This analysis uses a data collection via social media website and a sentiment analysis of the collected data. Findings Results show certain unexpected similarities in social media activities between male and female football fans. A comparison of the user comments from Facebook pages of the top five 2015-2016 Premier League football clubs revealed that men and women similarly express hard emotions such as anger or fear, while there is a significant difference in expressing soft emotions such as joy or sadness. Originality/value This paper provides an original insight into qualitative content analysis of male and female comments published at social media websites of the top five Premier League football clubs during the 1st and the 19th week of the 2015-2016 season.

Sentiment analysis of low-carbon travel APP user comments based on deep learning

2021 ◽  
Vol 44 ◽  
pp. 101014
Author(s):  
Xing-Min Lin ◽  
Chun-Heng Ho ◽  
Lu-Ting Xia ◽  
Ruo-Yi Zhao
Keyword(s):  
Deep Learning ◽  
Sentiment Analysis ◽  
Low Carbon ◽  
User Comments

scholarly journals Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 374 ◽  
Author(s):  
Sudhanshu Kumar ◽  
Monika Gahalawat ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Byung-Gyu Kim
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Short Term Memory ◽  
Age Groups ◽  
Modern World ◽  
Support Vector ◽  
Digital Information ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Sentiment analysis is a rapidly growing field of research due to the explosive growth in digital information. In the modern world of artificial intelligence, sentiment analysis is one of the essential tools to extract emotion information from massive data. Sentiment analysis is applied to a variety of user data from customer reviews to social network posts. To the best of our knowledge, there is less work on sentiment analysis based on the categorization of users by demographics. Demographics play an important role in deciding the marketing strategies for different products. In this study, we explore the impact of age and gender in sentiment analysis, as this can help e-commerce retailers to market their products based on specific demographics. The dataset is created by collecting reviews on books from Facebook users by asking them to answer a questionnaire containing questions about their preferences in books, along with their age groups and gender information. Next, the paper analyzes the segmented data for sentiments based on each age group and gender. Finally, sentiment analysis is done using different Machine Learning (ML) approaches including maximum entropy, support vector machine, convolutional neural network, and long short term memory to study the impact of age and gender on user reviews. Experiments have been conducted to identify new insights into the effect of age and gender for sentiment analysis.

Quantum Dots as Components of Electrochemical Sensing Platforms for the Detection of Environmental and Food Pollutants: a Review

2017 ◽  
Vol 100 (4) ◽  
pp. 950-961 ◽  
Author(s):  
María Pedrero ◽  
Susana Campuzano ◽  
José M Pingarrón
Keyword(s):  
Quantum Dots ◽  
Signal Amplification ◽  
Cost Effective ◽  
Ease Of Use ◽  
Electrochemical Sensing ◽  
Multiplexed Detection ◽  
Sensing Platforms ◽  
Target Analytes

Abstract The determination of organic and inorganic environmental and food pollutants is a key matter of concern in analytical chemistry due to their effects as a serious threat to human health. Focusing on this issue, several methodologies involving the use of nanostructured electrochemical platforms have been recently reported in the literature. Among these methods, those employing the use of quantum dots (QDs) stand out because of features such as signal amplification, good reproducibility and selectivity, and the possibility for multiplexed detection, and because they preserve the outstanding characteristics of electrochemical methodologies with respect to simplicity, ease-of-use, and cost-effective instrumentation. This review describes recent electrochemical strategies, in which design QDs play a key role, for the determination of pollutants in food and environmental samples. The particular role of QDs in the reported methodologies, their preparation, and the electrochemical platform design, as well as the advantages that QDs provide in the analysis of target analytes, are critically discussed.

Engaging Your Feelings: Emotion Contagion and Public Engagement on Nonprofit Organizations’ Facebook Sites

2021 ◽  
pp. 089976402110573
Author(s):  
Zongchao Cathy Li ◽  
Yi Grace Ji ◽  
Weiting Tao ◽  
Zifei Fay Chen
Keyword(s):  
United States ◽  
Nonprofit Organizations ◽  
Sentiment Analysis ◽  
Public Engagement ◽  
Negative Emotions ◽  
The United States ◽  
Computer Assisted ◽  
Diffusion Effect ◽  
User Comments ◽  
Emotion Contagion

This study investigated nonprofit organizations’ (NPOs) emotion-based content strategies on Facebook and publics’ engagement behaviors. More than 52,000 Facebook posts and corresponding comments were collected from the top 100 NPOs in the United States. The emotion-carrying status and valence of the messages were analyzed with computer-assisted sentiment analysis procedures. Results confirmed emotion-carrying posts and posts with negative emotions led to increased public engagement as indexed by the volumes of likes, shares, and comments. The presence of emotions and valence of the NPOs’ posts were also found to have a diffusion effect on user comments.

What a difference training can make: Impacts of targeted training on journalists, journalism educators and journalism students’ knowledge of Islam and Muslims

Journalism ◽  
2017 ◽  
Vol 19 (6) ◽  
pp. 762-781 ◽  
Author(s):  
Jacqui Ewart ◽  
Kate O’Donnell ◽  
April Chrzanowski
Keyword(s):  
News Media ◽  
Media Framing ◽  
Research Project ◽  
Raising Awareness ◽  
Before And After ◽  
Baseline Knowledge ◽  
Journalism Students ◽  
Basic Facts ◽  
Purposive Sample ◽  
Lack Of Knowledge

The problematic nature of news media framing of Islam and Muslims by Western news media has been well established by researchers. While research has focused on the ways such representations occur and to a lesser extent their effects on individuals and communities, we know little about why journalists frame Islam and Muslims in the Western news media in the ways they do. While studies point to a lack of knowledge about Islam and Muslims in non-Muslim populations, we know very little about how this translates to news media practitioners. This study draws from a far broader research project focused on encouraging more informed reporting of Islam and Muslims by the Australian news media. In this study, we establish the baseline knowledge of a purposive sample of Australian news media practitioners and journalism students about Islam and reporting stories about Islam and Muslims before and after targeted training. We find a relatively small investment in time significantly shifts this knowledge in both areas. Targeted training that includes a focus on basic facts about Islam as well as raising awareness of the resources that are now available to journalists may go some way towards improving reportage of Islam and Muslims.

scholarly journals High resolution copy number inference in cancer using short-molecule nanopore sequencing

2020 ◽  
Author(s):  
Timour Baslan ◽  
Sam Kovaka ◽  
Fritz J. Sedlazeck ◽  
Yanming Zhang ◽  
Robert Wappel ◽  
...  
Keyword(s):  
Copy Number ◽  
Cost Effective ◽  
Chromosome Analysis ◽  
Ease Of Use ◽  
Precision Oncology ◽  
Nanopore Sequencing ◽  
Dna Molecules ◽  
Sequencing Data ◽  
Short Read ◽  
Short Read Sequencing

ABSTRACTGenome copy number is an important source of genetic variation in health and disease. In cancer, clinically actionable Copy Number Alterations (CNAs) can be inferred from short-read sequencing data, enabling genomics-based precision oncology. Emerging Nanopore sequencing technologies offer the potential for broader clinical utility, for example in smaller hospitals, due to lower instrument cost, higher portability, and ease of use. Nonetheless, Nanopore sequencing devices are limited in terms of the number of retrievable sequencing reads/molecules compared to short-read sequencing platforms. This represents a challenge for applications that require high read counts such as CNA inference. To address this limitation, we targeted the sequencing of short-length DNA molecules loaded at optimized concentration in an effort to increase sequence read/molecule yield from a single nanopore run. We show that sequencing short DNA molecules reproducibly returns high read counts and allows high quality CNA inference. We demonstrate the clinical relevance of this approach by accurately inferring CNAs in acute myeloid leukemia samples. The data shows that, compared to traditional approaches such as chromosome analysis/cytogenetics, short molecule nanopore sequencing returns more sensitive, accurate copy number information in a cost effective and expeditious manner, including for multiplex samples. Our results provide a framework for the sequencing of relatively short DNA molecules on nanopore devices with applications in research and medicine, that include but are not limited to, CNAs.

scholarly journals P112 SMILE: Sustaining Medical Education In a Lockdown Environment.Using social media to develop a free online access medical education platform during lockdown

BJS Open ◽  
2021 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
John Pascoe ◽  
Paul Foster ◽  
Muntasha Quddus ◽  
Angeliki Kosti ◽  
Francesca Guest ◽  
...  
Keyword(s):  
Social Media ◽  
Medical Education ◽  
Online Survey ◽  
Cost Effective ◽  
User Comments ◽  
Surgical Trainees ◽  
Social Media Platforms ◽  
Online Access ◽  
Education Platform

Abstract Introduction SMILE is a free online access medical education (FOAMEd) platform created by two UK surgical trainees and a medical student that delivered over 200 medical lectures during lockdown. Method The role of Social Media in the development of SMILE was interrogated using a survey sent to all SMILE participants and by analysing activity on SMILE social media platforms. Results 1306 students responded to the online survey with 57.2% saying they heard of SMILE through Facebook. Engagement using facebook remained highest with 13,819 members, over 800 user comments and >16,000 user reactions. 4% of the students heard of SMILE through Twitter or Instagram. Facebook analytics revealed the highest level of traffic when lectures were most commonly held suggesting students used Facebook to access lectures. Other educators were able to find SMILE on social media, leading to collaborations with other platforms. Throughout the survey many mentioned how social media created and maintained a community of medical students enhancing group-based learning Conclusions We demonstrate that social media platforms provide popular and cost-effective methods to promote, sustain & deliver medical education for students and educators.

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