Analysis of Stock Market Public Opinion Based on Web Crawler and Deep Learning Technologies Including 1DCNN and LSTM

Retrieval of carbon dioxide concentrations using Tm-doped laser with deep learning algorithm

“…CNN adopts convolutional operations instead of general matrix multiplication to extract feature using convolutional layers, avoiding the tedious process of manual feature extraction. Compared with other deep neural networks, the three main features of CNN are local connectivity, weight sharing and subsampling, which make them somewhat shift-invariance, and reduce the number of parameters between network layers and lower network complexity [8]. Therefore, CNN has unique advantages in computer version, natural language processing and one-dimensional signal sequence processing [9].…”

Towards Automating the Identification of Sustainable Projects Seeking Financial Support: An AI-Powered Approach

“…A web crawler is a program that automatically retrieves and processes data from the Internet [45]. Web crawlers commonly use online search engines to discover websites containing information about a specific topic, and they harvest information [46]. Web crawlers operate by starting at a seed URL and then following links on that page to other pages within the same website or other websites.…”

“…Throughout this step, a large enough number of text documents are used to create a knowledge base that represents phrases and descriptions related to the target concept. The NLP model training utilizes the Global Vectors (GloVe) method [46] for word representation embedding. This embedding method transforms the words into multidimensional numerical vectors that quantify the co-occurrence probability between each pair of words or phrases.…”

Integração de Séries Temporais Financeiras e Informação Textual na Previsão do Mercado de Commodities Agrícola

“…Essa representação, juntamente com os dados de mercado, é conectada e utilizada como entrada nos modelos de previsão. Em outro estudo, os autores Yi et al (2023) evitam os métodos convencionais léxicos e empregam embeddings de caracteres para a classificação de textos. Os dados de texto são rotulados manualmente com base no conhecimento financeiro.…”