Technological forecasting based on estimation of word embedding matrix using LSTM networks
| Year of publication: |
2023
|
|---|---|
| Authors: | Gozuacik, Necip ; Sakar, C. Okan ; Ozcan, Sercan |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 191.2023, p. 1-16
|
| Subject: | Deep learning | Emerging topics | Natural language processing | Technological forecasting | Text mining | Trend analysis | Prognoseverfahren | Forecasting model | Data Mining | Data mining | Technologievorausschau | Technology foresight | Technischer Fortschritt | Technological change | Text | Künstliche Intelligenz | Artificial intelligence |
-
Chen, Hongshu, (2017)
-
Modeling stock price movements prediction based on news sentiment analysis and deep learning
Tajmazinani, Maedeh, (2022)
-
Recent advances in stock market prediction using text mining : a survey
Alzazah, Faten Subhi, (2021)
- More ...
-
Human resources mining for examination of R&D progress and requirements
Ozcan, Sercan, (2021)
-
Social media mining for ideation : identification of sustainable solutions and opinions
Ozcan, Sercan, (2021)
-
Democratising systems of innovations based on Blockchain platform technologies
Unalan, Serhan, (2020)
- More ...