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Data science and AI in FinTech: An overview
[article]
2021
arXiv
pre-print
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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
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., +, 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
2018
Public Transport
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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
2020
Information
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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
2014
International Journal of Parallel, Emergent and Distributed Systems
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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
2022
International Journal for Research in Applied Science and Engineering Technology
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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]
2020
arXiv
pre-print
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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
2021
International Journal of Data Science and Analytics
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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
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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]
2021
arXiv
pre-print
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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
2017
Computer graphics forum (Print)
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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
2016
Journal of Systems and Information Technology
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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]
2021
arXiv
pre-print
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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
2022
Journal of Big Data: Theory and Practice
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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
2019
Zenodo
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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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