What are the applications of sentiment analysis in oceanography science?

Jul 31, 2020 ... We propose an aspect-based sentiment analysis hybrid approach that integrates domain lexicons and rules to analyse the entities smart apps reviews. Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Jul 7, 2016 ... Sentiment analysis can also provide analytical perspectives for financial investors who want to discover and respond to market opinions [3, 4]. The two key steps for sentiment analysis are preparing the data to ensure it is suitable for analysis and classifying the emotion in the data. Selecting the ... Specifically, the self-attention mechanism enables AMIC to generate context-aware word embeddings, assigning document-specific sentiment scores to words based ... Feb 21, 2022 ... Sentiment analysis is a way of using computers to evaluate the emotion or connotation of words within texts. This is a popular way for organizations to determine and categorize opinions about a product, service or idea. Sentiment analysis involves the use of data ... Dec 5, 2022 ... Sentiment analysis of vegan related tweets using mutual information for feature selection. Elvina Shamoi 1 , Akniyet Turdybay 1 , Pakizar Shamoi 1 , Iskander ... Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and ... ... used for fine-tuning the LLM (Step 4). State-of-the-art pre-trained LLMs can perform sentiment analysis without any fine-tuning using zero-shot or few-shot ...