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Business Improvement Approach Based on Sentiment Twitter Analysis: Case Study

Mohebollah Noori, Jamal Maktoubian
2018 EAI Endorsed Transactions on Cloud Systems  
There are a number of studies in the respect of twitter sentiment analysis and opinion mining.  ...  This provide various challenges and opportunities for different businesses and sectors.  ...  Automatically tweets send from the API to HDFS, without our manual Interference Business Improvement Approach Based on Sentiment Twitter Analysis: Case Study and supervision.  ... 
doi:10.4108/eai.13-7-2018.158417 fatcat:yzrrwrb2dfbs3hvze7hum7tfmm

17B2074 Case Study Analysis [article]

2020 Zenodo  
17b2074 case study analysis  ...  Based on these comparisons this research examined the facts of digital HRM both in theory and in practice through comparison study between conventional HRM and digital HRM in the purpose of contributing  ...  is in line with an improved employee experience but focuses on the HR side of it.  ... 
doi:10.5281/zenodo.4268271 fatcat:jqyzyqmsgvavlh34btdcesbylu

Social Media Sentiment Analysis: The Hajj Tweets Case Study

Mohammad Ashraf Ottom, Khalid M.O. Nahar
2021 Journal of Computer Science  
In this study, we focused on finding the best way for sentiment analysis by using a series of Hajj-related tweets, which is one of the most important rituals performed by Muslims, where the companies responsible  ...  Companies that offer their services and products to customers focus on the subject for future improvement.  ...  Their paper focused on the design of sentiment analysis, extracting a vast number of tweets, to provide competitive advantages to the business and increase business revenue using ML and sentiment analysis  ... 
doi:10.3844/jcssp.2021.265.274 fatcat:qjoe4ykkxbeqbpcnrd43mamuei

Sentiment Analysis for Customer Review: Case Study of GO-JEK Expansion

Alifia Revan Prananda, Irfandy Thalib
2020 Journal of Information Systems Engineering and Business Intelligence  
Since business intelligence needs a deep analysis, sentiment analysis becomes a powerful algorithm for analyzing customer review regarding to the business intelligence analysis.Objective: In this study  ...  , we perform a sentiment analysis for identifying the business intelligence analysis in GO-JEK.Methods: We use Twitter posts collected from the Twint library which consists of 3111 tweets.  ...  In this research work, we proposed a business intelligence analysis by using sentiment analysis method based on customer reviews. We choose GO-JEK case study in our research.  ... 
doi:10.20473/jisebi.6.1.1-8 fatcat:a4nczicmy5ccnn7vciyhkjxfyi

Topic and Sentiment Analysis on OSNs: a Case Study of Advertising Strategies on Twitter [article]

Shana Dacres, Hamed Haddadi, Matthew Purver
2013 arXiv   pre-print
In this paper, using data collected from Twitter as a case study, we analyze how engagement and sentiment in promoted content spread over a 10-day period.  ...  However, sentiment analysis and topic identification are both non-trivial tasks.  ...  Acknowledgments The authors thank Chatterbox 13 for providing unlimited access to the Sentimental API.  ... 
arXiv:1312.6635v1 fatcat:kvbsp5goh5dvpd6eg2y7bn5upq

Social Media Analysis For Organizations: Us Northeastern Public And State Libraries Case Study [article]

Matthew Collins, Amir Karami
2018 arXiv   pre-print
This study presents a computational approach to explore the content of tweets posted by nine public libraries in the northeastern United States of America.  ...  In December 2017, this study extracted more than 19,000 tweets from the Twitter accounts of seven state libraries and two urban public libraries.  ...  In addition to lower costs, libraries improve on serving their patrons when they utilize social media.  ... 
arXiv:1803.09133v1 fatcat:yyzpulc52nayjceouumpc7hri4

Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading

Siavash Kazemian, Shunan Zhao, Gerald Penn
2014 Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
There is even some published research suggesting that automated sentiment analysis of news documents, quarterly reports, blogs and/or Twitter data can be productively used as part of a trading strategy  ...  There are numerous studies suggesting that published news stories have an important effect on the direction of the stock market, its volatility, the volume of trades, and the value of individual stocks  ...  This is one of the very few studies that has evaluated sentiment analysis itself (as opposed to a sentiment-based trading strategy) against market returns (versus gold-standard sentiment annotations).  ... 
doi:10.3115/v1/w14-2620 dblp:conf/wassa/KazemianZP14 fatcat:rkn3prlopjec5hdgz2blgh23ii

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

Marco Pota, Mirko Ventura, Rosario Catelli and Massimo Catelli
2020 Sensors  
This work aims to introduce a different approach for Twitter sentiment analysis based on two steps.  ...  A case study describing the application of the approach to Italian is presented, with a comparison with other Italian existing solutions.  ...  Conclusions The objective of this work was the introduction of an effective approach based on the BERT language model for Twitter sentiment analysis.  ... 
doi:10.3390/s21010133 pmid:33379231 pmcid:PMC7796054 fatcat:vtsta2ca3bfzfkbbw3lgnw4hyy

A case study of Spanish text transformations for twitter sentiment analysis

Eric S. Tellez, Sabino Miranda-Jiménez, Mario Graff, Daniela Moctezuma, Oscar S. Siordia, Elio A. Villaseñor
2017 Expert systems with applications  
Furthermore, among the different text transformations studied, we introduce a novel approach based on the combination of word based n-grams and character based q-grams.  ...  Sentiment analysis is a text mining task that determines the polarity of a given text, i.e., its positiveness or negativeness.  ...  Acknowledgements The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of this manuscript.  ... 
doi:10.1016/j.eswa.2017.03.071 fatcat:knrwe2l3sbadtdlikbodwo65de

Using Social Media in Tourist Sentiment Analysis: A Case Study of Andalusia during the Covid-19 Pandemic

David Flores-Ruiz, Adolfo Elizondo-Salto, María de la O. Barroso-González
2021 Sustainability  
This information is then compared with data obtained from a sentiment analysis based on the social network Twitter.  ...  In the case study, which focuses on Andalusia, the changes experienced by the tourism sector in the southern Spanish region as a result of the COVID-19 pandemic are assessed using the Andalusian Tourism  ...  Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Data Availability Statement: Not applicable.  ... 
doi:10.3390/su13073836 fatcat:yugkga756nbqfjlzzyqx75fptu

A Twitter Sentiment Analysis Model for Measuring Security and Educational Challenges: A Case Study in Saudi Arabia

Hassan Abdullah Alqarni, Yahya AlMurtadha, Abdelrahman Osman Elfaki
2018 Journal of Computer Science  
Therefore this research proposes an approach to identify and measure the educational and security challenges facing Saudi society through Twitter sentiment analysis.  ...  The results of this research show that the sentiment analysis of tweets could provide a faster and cheaper alternative to the use of traditional psychological scales.  ...  Acknowledgment This study was funded by the Deanship of Scientific Research, University of Tabuk, Tabuk, Saudi Arabia, under grant no. S-1437-314.  ... 
doi:10.3844/jcssp.2018.360.367 fatcat:fvw3urpjgvbujgsjqkapt5fdc4

ELM Meets Urban Big Data Analysis: Case Studies

Ningyu Zhang, Huajun Chen, Xi Chen, Jiaoyan Chen
2016 Computational Intelligence and Neuroscience  
We present several real case studies of the framework like smog-related health hazard prediction and optimal retain store placement.  ...  Section 2 briefly reviews existing studies on ELM and urban computing. Section 3 presents the framework and key challenges. Section 4 describes the case studies.  ...  In all cases, we observe a significant improvement in precision and efficiency with respect to the baseline.  ... 
doi:10.1155/2016/4970246 pmid:27656203 pmcid:PMC5021905 fatcat:o5p237z55rcjxe65rebamun4q4

Sentiment Analysis of Lockdown in India During COVID-19: A Case Study on Twitter

Prasoon Gupta, Sanjay Kumar, R. R. Suman, Vinay Kumar
2020 IEEE Transactions on Computational Social Systems  
With the rapid increase in the use of the Internet, sentiment analysis has become one of the most popular fields of natural language processing (NLP).  ...  Using sentiment analysis, the implied emotion in the text can be mined effectively for different occasions.  ...  [20] applied the sentiment analysis on political tweets using a neural-network-based approach.  ... 
doi:10.1109/tcss.2020.3042446 fatcat:m7osem2ruzcrvdubfnvvei6czm

Sentiment Analysis of RSS Feeds on Sports News – A Case Study

Khalid Mahboob, Dept. of Software Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan, Fayyaz Ali, Hafsa Nizami
2019 International Journal of Information Technology and Computer Science  
This research is an endeavor to the case study that calculates news polarity or emotions on different sports feeds which may influence changes in sports news development patterns.  ...  The significance and application value of sentiment analysis of RSS feeds in this study is to distinguish between positive feeds and negative feeds on sports that could affect readers or users minds in  ...  Sentiment Analysis of RSS Feeds on Sports News -A Case Study Copyright © 2019 MECS I.J.  ... 
doi:10.5815/ijitcs.2019.12.02 fatcat:3rizhfmhknd5bas2cnaujupo6a

Need for Anaphoric Resolution towards Sentiment Analysis-A Case Study with Scarlet Pimpernel (Novel)

R. Nithya
2019 International Journal of Education and Management Engineering  
Proper treatment of anaphoric relations improves the performance of applications.  ...  It is very much needed to concentrate on the usage of pronoun, as it should match with their antecedents both in number and gender.  ...  But there are only very few studies made on pronoun and abstract noun and its significant role in bearing sentiment.  ... 
doi:10.5815/ijeme.2019.01.04 fatcat:cvcwagpq3jco5b5cj4d4dpizva
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