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Learning Argument Structures with Recurrent Neural Network Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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A novel source-filter stochastic model for voice production
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In: ISSN: 0892-1997 ; Journal of Voice ; https://hal-upec-upem.archives-ouvertes.fr/hal-03179837 ; Journal of Voice, Elsevier, 2021, In Press, pp.1-11. ⟨10.1016/j.jvoice.2020.11.015⟩ (2021)
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Writing At the Horizon: How Producing Imagined Narratives Affects Mood
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In: Senior Projects Fall 2021 (2021)
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Symbolic Model-based Design and Generation of Logical Scenarios for Autonomous Vehicles Validation
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In: 2021 IEEE Intelligent Vehicles Symposium (IV) ; https://hal.archives-ouvertes.fr/hal-03540190 ; 2021 IEEE Intelligent Vehicles Symposium (IV), Jul 2021, Nagoya, Japan. pp.215-222, ⟨10.1109/IV48863.2021.9575528⟩ (2021)
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Learning a weather dictionary of atmospheric patterns using Latent Dirichlet Allocation
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In: https://hal.archives-ouvertes.fr/hal-03258523 ; 2021 (2021)
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К ВОПРОСУ О МОДАЛЬНЫХ ПОКАЗАТЕЛЯХ ЭВИДЕНЦИАЛЬНЫХ ЗНАЧЕНИЙ В ИНГУШСКОМ ЯЗЫКЕ ... : TO THE QUESTION OF MODAL INDICATORS OF EVIDENTIAL VALUES IN THE INGUSH LANGUAGE ...
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Methodological peculiarities of probability estimation of bankruptcy of agrarian enterprises in Ukraine ...
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Probability matching across linguistic and non-linguistic domains ...
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Neural Network Reconstruction of Late-Time Cosmology and Null Tests ...
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Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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Exploring How Phonotactic Knowledge Can Be Represented in Cognitive Networks
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In: Big Data and Cognitive Computing ; Volume 5 ; Issue 4 (2021)
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What Mathematical Knowledge Do Prospective Teachers Reveal When Creating and Solving a Probability Problem?
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In: Mathematics; Volume 9; Issue 24; Pages: 3300 (2021)
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The Fundamental Limit Theorem of Countable Markov Chains
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In: Senior Honors Theses (2021)
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Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
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In: Graduate Theses and Dissertations (2021)
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Abstract:
The goal of this research is to build a model to predict trend of financial asset price using sentiment from news headlines and financial indicators of the asset. Objective of the model is to conclude good results but also to minimize the difference between predicted values and actual values. Unlike previous approaches where the sentiments are usually calculated into score, we focus on combination of word embedding of news and financial indicators due to nonavailability of sentiment lexicon. One idea is that the sentiment of news headline should have impact on financial asset val- ues. In other words, it would be crucial how we extract information from news headlines. An- other idea is that price data through time series analysis is also useful to predict trend of financial asset prices. Hence, improvement should be made with combination of sentiment analysis of news headlines and time series analysis. Compared to time series models and word embedding models, our combined model shows smaller or similar small MAPE, MAE, and RMSE with time series models, and reduces lag in graphs.
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Keyword:
Finance and Financial Management; Long short-term memory; neural networks; Statistics and Probability; word embedding
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URL: https://digitalcommons.usf.edu/etd/8749 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=9946&context=etd
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METHOD OF CYCLIC SYNCHRONIZATION BASED ON PERMUTATIONS ; МЕТОД ЦИКЛОВОЇ СИНХРОНІЗАЦІЇ НА ОСНОВІ ПЕРЕСТАНОВОК
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In: Bulletin of Cherkasy State Technological University; No. 4 (2020); 67-76 ; Вестник Черкасского государственного технологического университета; № 4 (2020); 67-76 ; Вісник Черкаського державного технологічного університету; № 4 (2020); 67-76 ; 2708-6070 ; 2306-4412 ; urn:2306:44554.2020 ; 10.24025/2306-4412.4.2020 (2021)
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Un acercamiento didáctico a la cognición cuántica: un modelo matemático para entender cómo aprendemos a tomar decisiones
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In: La investigación acompañando a la vida. Estudios en Homenaje a Emigdia Repetto Jiménez / Pastora Calvo Hernández, Víctor Manuel Hernández Suárez y Juana Rosa Suárez Robaina (coords.), p. 341-357 (2021)
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Dietary consumption in the Swiss Kidney Stone Cohort-NCCR Kidney.CH
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In: Swiss Medical Weekly, vol. 151, no. SUPPL 256, pp. 18S-19S (2021)
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Information flow, artificial phonology and typology
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In: Proceedings of the Society for Computation in Linguistics (2021)
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