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A Comprehensive survey of Machine Learning Algorithms for Sentiment Analysis of Political Tweets

.Kavitha DNSB, Prof. Prasad P.V.G.D Reddy, Prof.K. Venkata Rao
2019 International Journal of Research in Advent Technology  
of winning chances by taking various parameters into consideration.This paper provides a survey and a comparative study of existing methods for sentiment analysis.Limitations of Sentiment Analysis on  ...  There is a need for processing the computations of sentiment analysis in documents.  ...  Lots of new technologies are coming out in market for automatic sentiment analysis and to dig out hidden knowledge from such a huge amount of usergenerated data on social media.  ... 
doi:10.32622/ijrat.752019145 fatcat:byv3voaxhvedho3go33iroblei

A Comprehensive Survey on Aspect Based Word Embedding Models and Sentiment Analysis Classification Approaches [chapter]

Monika Agrawal, Nageswara Rao Moparthi
2021 Advances in Parallel Computing  
This article provides a comprehensive survey on different word embedding models under CNN framework for aspect extraction and different machine learning techniques applicable for sentiment classification  ...  Sentiment analysis is applicable in multi-domains such as customer feedback for a particular product, movie reviews, social and political comments.  ...  Moparthi / A Comprehensive Survey on Aspect Based Word Embedding Models 35 M. Agrawal and N.R. Moparthi / A Comprehensive Survey on Aspect Based Word Embedding Models  ... 
doi:10.3233/apc210175 fatcat:cdfjewfq6jamdbkgg5k7a3ssxq

Exploring the Power of Social Media in Election Predictions

2019 International journal of recent technology and engineering  
The predictions of election results have been started from traditional methods to economic indicators and now is being swung by social media especially sentimental analysis.  ...  The forecasting of election's outcome remained prevailed in prominence from pre-historic times and is still a delightful topic of the current era.  ...  The technicalities mostly adopted for sentimental analysis using social media data is listed below in table3: Table3. Algorithms, Tools and methods used in existing survey.  ... 
doi:10.35940/ijrte.a9192.078219 fatcat:lyryzfhe2nag3jypwkp3w5z4hu

Irish Attitudes Toward COVID Tracker App & Privacy: Sentiment Analysis on Twitter and Survey Data

Pintu Lohar, Guodong Xie, Malika Bendechache, Rob Brennan, Edoardo Celeste, Ramona Trestian, Irina Tal
2021 The 16th International Conference on Availability, Reliability and Security  
We also perform sentiment analysis on survey data, namely on participant's comments gathered in a survey on privacy during COVID-19 conducted in the Republic of Ireland 3 .  ...  Section 2 discusses the related work, section 3 focuses on the sentiment analysis on Twitter data, while section 4 present the analysis performed on the survey data.  ... 
doi:10.1145/3465481.3469193 fatcat:wevwtpv2jfffbkc6ip7zbophyu

Twitter Analysis to Predict the Satisfaction of Telecom Company Customers

Latifah Almuqren, Alexandra I. Cristea
2016 ACM Conference on Hypertext & Social Media  
This report starts with a review of previous research in using Twitter to measure user satisfaction and subjectivity analysis for Arabic. Then, it provides our approach and future plan.  ...  This research is aimed at mining Arabic tweets to measure customer satisfaction toward Telecom companies in Saudi Arabia, and to predict the ratio of customer churn.  ...  Designing an exploratory survey: This refers to surveying Telecom Companies' customers which published in Twitter for public consumption.  ... 
dblp:conf/ht/AlmuqrenC16a fatcat:3ebn6aenszgufebjwghbj4lgji

The Survey of Sentiment and Opinion Mining for Behavior Analysis of Social Media

Saqib Iqbal, Ali Zulqurnain, Yaqoob Wani, Khalid Hussain
2015 International Journal of Computer Science & Engineering Survey  
The comprehensive analysis of the methods which are used on user behavior prediction is presented in this paper.  ...  This comparison will provide a detailed information, pros and cons in the domain of sentiment and opinion mining.  ...  Many researchers are still researching on sentiment and opinion mining and how to improve this particular mining techniques.This paper is based on a comprehensive study on sentiment and opinion mining,  ... 
doi:10.5121/ijcses.2015.6502 fatcat:wo2ulnwlwjhbrdvx2xn22a6zci

A Worldwide Analysis of Cyber Security and Cyber Crime using Twitter

2019 International Journal of Engineering and Advanced Technology  
Our research is focused on analyzing the extent of cyber-attacks in various countries across the globe.  ...  In the era of social media and the Internet, there has been an exponential increase in threats related to the privacy of user accounts and data.  ...  The author presented a sentiment analysis method on Twitter content.  ... 
doi:10.35940/ijeat.f1333.0986s319 fatcat:ddlq2o4okfhcfeaqfhqf3pahs4

Sentiment Expression via Emoticons on Social Media [article]

Hao Wang, Jorge A. Castanon
2015 arXiv   pre-print
First, to demonstrate the prevalence of emoticons on social media, we analyzed the frequency of emoticons in a large re- cent Twitter data set.  ...  The first analysis surveyed a group of participants for their perceived sentiment polarity of the most frequent emoticons.  ...  We then searched for any emoticon in that list in a very large Twitter data set that contains all the tweets collected through the Twitter Decahose API in the entire month of March 2015 (the Twitter Decahose  ... 
arXiv:1511.02556v1 fatcat:drlfdzw2bnbj3ctvxjavwypjbq

Big Data Analytics using Supervised Learning: A Comprehensive Review of Recent Techniques

Wedjdane Nahili
2020 International Journal for Research in Applied Science and Engineering Technology  
With the availability of text data in various forms on social media platforms, text mining, and sentiment analysis has received huge attention.  ...  This paper provides an overview of the most recent methods used in text mining and sentiment analysis along with their detailed description and a discussion of obtained results.  ...  Twitter sentiment analysis data set, which is originated from Stanford University.  ... 
doi:10.22214/ijraset.2020.1056 fatcat:hxl3jiphajh3jofmnou4sq5fzi

A Comprehensive Analysis of Approaches for Sentiment Analysis Using Twitter Data on COVID-19 Vaccines

Amrita Mishra, Department of Computer Science Engineering, BBD University, Lucknow, India
2021 Journal of Informatics Electrical and Electronics Engineering (JIEEE)  
Sentiment Analysis has paved routes for opinion analysis of masses over unrestricted territorial limits.  ...  With the advent and growth of social media like Twitter, Facebook, WhatsApp, Snapchat in today's world, stakeholders and the public often takes to expressing their opinion on them and drawing conclusions  ...  Sentiment analysis tools are given in Table2 [10] and we also refer to Big Data analytics tools by considering a Comprehensive Survey on Big Data Analytics [11] .  ... 
doi:10.54060/jieee/002.02.009 fatcat:msrpzwvm7ngjzmwb5zkakgwgg4

Using Social Media to Measure Student Wellbeing: A Large-Scale Study of Emotional Response in Academic Discourse [chapter]

Svitlana Volkova, Kyungsik Han, Courtney Corley
2016 Lecture Notes in Computer Science  
We found that emotions and opinions expressed by students vary across discourse types and universities, and correlate with survey-based data on student satisfaction, happiness and stress.  ...  Earlier studies on tracking students' happiness in academia showed that many of them struggle with mental health issues.  ...  First, for the data collection in the content analysis, our sample may not represent a larger group of students on Twitter.  ... 
doi:10.1007/978-3-319-47880-7_32 fatcat:jpcjdtu27ne3vmvuwegnbyb24q

Sentiment Analysis in the Era of Web 2.0: Applications, Implementation Tools and Approaches for the Novice Researcher

Mahmood Umar, Mansur Aliyu, Salisu Modi
2022 Caliphate Journal of Science and Technology  
Studies show that machine learning approaches result in large data sets on document-level sentiment classification.  ...  Sentiment analysis can be applied in education, research optimization, politics, business, education, health, science and so on, thus forming massive data that requires efficient tools and techniques for  ...  Also the effort of Department of Computer Science and its staff for their contributions in one way or the other is recognised.  ... 
doi:10.4314/cajost.v4i1.1 fatcat:gijymvnbnfe7neht65ksyg2uoi

Artificial Intelligence-enabled analysis of social media data to understand public perceptions of COVID-19 contact tracing apps (Preprint)

Kathrin Cresswell, Ahsen Tahir, Zakariya Sheikh, Zain Hussain, Andrés Domínguez Hernández, Ewen Harrison, Robin Williams, Aziz Sheikh, Amir Hussain
2020 Journal of Medical Internet Research  
We here report on an analysis of the suitability of Artificial Intelligence (AI)-enabled social media analysis of Facebook and Twitter to understand public perceptions of COVID-19 contact tracing apps  ...  These sentiments varied over time, likely being influenced by ongoing public debates around implementing app-based contact tracing using a centralised model where data would be shared with the health service  ...  Thus, there is a need for a more refined and comprehensive search strategy using multiple social media and web platforms, as well as linked analysis with data from external trustworthy sources such as  ... 
doi:10.2196/26618 pmid:33939622 pmcid:PMC8130818 fatcat:iuvbut5gfjfitmxel462ue3rvu

Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends

Wajdi Aljedaani, Eysha Saad, Furqan Rustam, Isabel de la Torre Díez, Imran Ashraf
2022 Mathematics  
For this purpose, insights from publications are gathered that analyze the (a) approaches used to develop sentiment analysis tools, (b) major sources of data, (c) available data sources, and (d) the public  ...  Moreover, to a large extent, researchers have employed the Latent Dirichlet Allocation model for topic modeling of Twitter data.  ...  Data Processing In sentiment analysis, the stage after data collection and annotation is data processing.  ... 
doi:10.3390/math10173199 fatcat:rlb7bfz5rjedhl27hcvkw4sckm

Tweets about hospital quality: a mixed methods study

Felix Greaves, Antony A Laverty, Daniel Ramirez Cano, Karo Moilanen, Stephen Pulman, Ara Darzi, Christopher Millett
2014 BMJ Quality and Safety  
To compare sentiment on Twitter about hospitals with established survey measures of patient experience and standardised mortality rates.  ...  Design A mixed methods study including a quantitative analysis of all 198 499 tweets sent to English hospitals over a year and a qualitative directed content analysis of 1000 random tweets.  ...  Contributors FG had full access to all of the data (including statistical reports and tables) in the study and can take responsibility for the integrity of the data and the accuracy of the data analysis  ... 
doi:10.1136/bmjqs-2014-002875 pmid:24748372 pmcid:PMC4174012 fatcat:e4skhgb2trbitd5ecx3n3nglxy
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