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Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
processing, augmentation, optimization, and system intelligence enhancement.  ...  Smart FinTech synthesizes broad DSAI and transforms finance and economies to drive intelligent, automated, whole-of-business and personalized economic and financial businesses, services and systems.  ...  -Emotion and sentiment analysis: by social media analysis, topic modeling, text stream classification, visualization of sentiments, etc.  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4

2020 Index IEEE Transactions on Knowledge and Data Engineering Vol. 32

2021 IEEE Transactions on Knowledge and Data Engineering  
., +, TKDE April 2020 821-826 F Feature extraction Adaptive Self-Paced Deep Clustering with Data Augmentation.  ...  ,Niu, J., and Yu, S., SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis; TKDE Oct. 2020 2026-2039 Wang, L., see 1747-1760 Wang, M., see 1517-1528  ... 
doi:10.1109/tkde.2020.3038549 fatcat:75f5fmdrpjcwrasjylewyivtmu

Using Twitter data for transit performance assessment: a framework for evaluating transit riders' opinions about quality of service

N. Nima Haghighi, Xiaoyue Cathy Liu, Ran Wei, Wenwen Li, Hu Shao
2018 Public Transport  
This framework can be potentially quite useful to transit agencies for user-oriented analysis and to assist with investment decision making.  ...  Sentiment analysis is further performed based on the tweet-pertopic index we developed, to gauge transit riders' feedback and explore the underlying reasons causing their dissatisfaction on the service  ...  UTA projects or news discussion. The tweets of the first topic might be potentially useful for user-oriented analysis and to assist with investment decision-making.  ... 
doi:10.1007/s12469-018-0184-4 fatcat:4dccuxitzrf4pesar2a4ix5xdm

Investigation of Spoken-Language Detection and Classification in Broadcasted Audio Content

Rigas Kotsakis, Maria Matsiola, George Kalliris, Charalampos Dimoulas
2020 Information  
This approach matches the investigatory inception of the project, which seeks for indicators that could be applied in a second step with a larger dataset and/or an already pre-trained model, with the purpose  ...  Besides the analysis of the achieved recognition scores (partial and overall), late integration models are proposed for semi-automatically annotation of new audio recordings.  ...  Focused research was conducted in speaker diarization/verification problems or sentiment analysis via Gaussian Mixture Modeling with cepstral properties [8, 17] .  ... 
doi:10.3390/info11040211 fatcat:rwstur3h7zbohpysbb3mpx366i

COSMOS: Towards an integrated and scalable service for analysing social media on demand

Peter Burnap, Omer Rana, Matthew Williams, William Housley, Adam Edwards, Jeffrey Morgan, Luke Sloan, Javier Conejero
2014 International Journal of Parallel, Emergent and Distributed Systems  
We have therefore validated the 'ground truth' of the sentiment analysis tool in COSMOS with human users and compared the human annotated sentiment score with results returned from COSMOS [9] .  ...  Finally, this analytical functionality provides COSMOS with the potential to re-orientate social scientific analysis of urban governance and other social phenomena around the effect of online communications  ... 
doi:10.1080/17445760.2014.902057 fatcat:zg4qodqlubgeper5yyqmey5b74

The Fellow Traveller: A Machine Learning Approach to Travel Management

Yogesh Kumar
2022 International Journal for Research in Applied Science and Engineering Technology  
An application which can use machine learnings prediction system like Support Vector Regression Model and Adaptive Neuro Fuzzy Inference Systems, Expectation Maximization and Self-Organizing Map for clustering  ...  There are so many places where only local rental services is available means no online cab services, no platform to contact a guide, platform to book self-driving vehicles, to check the current and predicted  ...  Maximization and Self-Organizing Map for clustering techniques and for dimensionality reduction, Principal Component Analysis.  ... 
doi:10.22214/ijraset.2022.41613 fatcat:kycmscbv5ffvnkv2xa4w2xgwjm

From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data [article]

Weiran Yao, Sean Qian
2020 arXiv   pre-print
The occurrence of big events in the evening before, represented by higher or lower tweet sentiment than normal, often implies lower travel demand in the next morning than normal days.  ...  Besides, people's tweeting activities in the night before and early morning are statistically associated with congestion in morning peak hours.  ...  Acknowledgements This project is funded by National Science Foundation Award CMMI-1751448, and in part by Carnegie Mellon University's Traffic21 Institute and Mobility21, a National USDOT University Transportation  ... 
arXiv:2009.13794v1 fatcat:l52fq6iqbfaqnnjzn7a4rxuscq

Data science and AI in FinTech: an overview

Longbing Cao, Qiang Yang, Philip S. Yu
2021 International Journal of Data Science and Analytics  
processing, augmentation, optimization, and system intelligence enhancement.  ...  Smart FinTech synthesizes broad DSAI and transforms finance and economies to drive intelligent, automated, whole-of-business and personalized economic and financial businesses, services and systems.  ...  -to what extent can autonomous, personalized and precision finance possibly transform personal finance, corporate finance, public finance and Internet finance?  ... 
doi:10.1007/s41060-021-00278-w fatcat:4qo3swacjbaaxh56p5bvhmjzqa

Character index

2011 2011 IEEE International Conference on Multimedia and Expo  
SELF MODELING OPTIMIZED FRAME STRUCTURE FOR INTERACTIVE LIGHT FIELD STREAMING WITH COOPERATIVE CACHING HIDDEN MARKOV MODEL FOR EYE GAZE PREDICTION IN NETWORKED VIDEO STREAMING GAME THEORETICAL ANALYSIS  ...  and Expo Xiaoan Lu VIDEO Zhaoming Lu GRADIENT PROJECTION BASED QOS DRIVEN CROSS-LAYER SCHEDULING FOR VIDEO APPLICATIONS Maurizio Lucenteforte Erasmia Lyka DEPTH ESTIMATION IN INTEGRAL  ... 
doi:10.1109/icme.2011.6011827 fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu

Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine Market Topics Sentiment [article]

Jim Samuel, Ratnakar Palle, Eduardo Correa Soares
2021 arXiv   pre-print
alignment, and (ii) by sentiment alignment.  ...  textual corpora with naturally occurring textual corpora.  ...  We acknowledge the valuable advisory support from faculty and staff at the Stanford Center for Professional Development, and in particular, Dr. Khalid Abbas El-Awady.  ... 
arXiv:2107.02025v1 fatcat:r5lv2xrdljgf7b2mqfm346b2ei

Steering the Craft: UI Elements and Visualizations for Supporting Progressive Visual Analytics

Sriram Karthik Badam, Niklas Elmqvist, Jean-Daniel Fekete
2017 Computer graphics forum (Print)  
Figure 1 : The InsightsFeed tool for progressive visual analytics of Twitter (left): (A) a list of tweets, (B) a sentiment chart, (C) user popularity chart, (D) a map from a 2D projection of tweets with  ...  When analysis is performed progressively, rough estimates of the results are generated quickly and are then improved over time.  ...  Any opinions, findings, and conclusions or recommendations expressed in this article are those of the authors and do not necessarily reflect the views of the funding agency.  ... 
doi:10.1111/cgf.13205 fatcat:cov762libnf7nozd747tt2a77m

Engineering social media driven intelligent systems through crowdsourcing

Martin Sykora
2016 Journal of Systems and Information Technology  
Engineering social media driven intelligent systems through crowdsourcing: Insights from a financial news summarisation system. Journal of Systems and Information Technology, 18 (3), pp.255-276.  ...  Design/methodology/approach A case study using an illustrative example system, which systematically employed a custom social media platform for automated financial news analysis and summarisation was developed  ...  main streams of motivators, which align with altruistic and the social self-presentation reasons (Forte and Bruckman, 2005; Kuznetsov, 2006) . • Data from these sources is commonly available in real-time  ... 
doi:10.1108/jsit-03-2016-0019 fatcat:wzlitenbk5gpte6mzg7ayyz2u4

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions [article]

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani
2021 arXiv   pre-print
The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big Data in support of smart  ...  We also highlight key challenges in a successful deployment of AI and Big Data methods in smart industries with a particular emphasis on data-related issues, such as availability, bias, auditing, management  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the Management, and Faculty of Mepco Schlenk Engineering College, Sivakasi, India for their support and extending necessary facilities to carry out this  ... 
arXiv:2104.02425v2 fatcat:r25gug6wmrbyjnreiewprdvqpa

Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment

Jim Samuel, Ratnakar Palle, Eduardo Correa Soares
2022 Journal of Big Data: Theory and Practice  
alignment, and (ii) by sentiment alignment.  ...  textual corpora with naturally occurring textual corpora.  ...  We acknowledge the valuable advisory support from faculty and staff at the Stanford Center for Professional Development, and, in particular, Dr. Khalid Abbas El-Awady.  ... 
doi:10.54116/jbdtp.v1i1.20 fatcat:ytf53tfopjdahjmv5bk7axd2y4

DIGITAL SERVICE INNOVATION USING ICCT UNDERLYING TECHNOLOGIES

P Sreeramana Aithal, Shubhrajyotsna Aithal
2019 Zenodo  
International Conference on Emerging Trends in Management, IT and Education  ...  forecasting tourist activities, Sentiment analysis, Forecasting tourism demand, Customer knowledge management, data analytic tourism dashboard, etc. 14 Travel & Transport Travel search engine optimization  ...  Personal augmented reality advertising, Augmented reality 3d interactive advertisements on smartphones, Exposure time and self-efficacy in augmented reality advertising environments, Adoption of mobile  ... 
doi:10.5281/zenodo.3484689 fatcat:yijeal7djfc2fohjdoabplysta
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