The Tech Edvocate

How Google’s New Search Updates Demand Urgent AI Optimization for Businesses

Spread the love“`html In an ever-evolving digital landscape, businesses are facing a formidable challenge: adapting to Google’s recent search updates that emphasize the need for AI optimization for ...
Nature

Medical Image Retrieval and Analysis Using Deep Learning Techniques

Medical image retrieval and analysis have been transformed by deep learning technologies, enabling rapid, accurate and scalable interpretation of visual data across modalities such as MRI, CT and ...
GitHub

Financial Time-Series Forecasting with Deep Learning and Social Media Sentiment

Official repository for our research on integrating Reddit-derived investor sentiment into financial time-series forecasting using a Temporal Fusion Transformer (TFT) framework. This project studies ...
ischool.berkeley.edu

DeepLearning Sentiment Portfolio (DSP)

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...
C&EN

Reducing Spectral Confusion in Microplastic Analysis: A U-Net Deep Learning Approach

Department of Chemistry and Chemical Engineering, Inha University, Incheon 22212, Republic of Korea Program in Biomedical Science and Engineering, Inha University, Incheon 22212, Republic of Korea ...
IEEE

NLP-Based Sentiment Analysis using Deep Learning Methods

Abstract: Opinion mining systems rely heavily on sentiment analysis because to the vast amount of data and opinions that are generated, exchanged, and sent on a regular basis through the internet and ...
Scientific Research Publishing

Minaee, S., Azimi, E. and Abdolrashidi, A. (2019) Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models. IEEE Transactions on Affective Computing, 10, 514 ...

ABSTRACT: This paper presents a reference methodology for process orchestration that accelerates the development of Large Language Model (LLM) applications by integrating knowledge bases, API access, ...
Scientific Research Publishing

Lin, Y., Lai, C., & Pai, P. (2022). Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis. Electronics, 11, Article 3513.

ABSTRACT: This paper seeks to forecast the daily closing prices of advanced global stock markets by employing machine learning techniques. It includes a comparative analysis of four major indices: ...