How can sentiment analysis be used to analyze feedback on search engine results?

... 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 ... Mar 20, 2023 ... Sentiment analysis essentially identifies whether a topic conveys a positive, negative, neutral, or any other sentiment; while text analysis is ... Apr 23, 2018 ... Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations ... They collect all publicly available mentions that contain your predefined keyword and analyze the emotions behind these messages. As for technical aspects, ... Furthermore, we align these word embeddings and present a novel neural network model that is trained on English data to conduct sentiment analysis and then ... Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... Sentiment analysis, also known as opinion mining, is the process that uses natural language processing (NLP) and machine learning (ML) techniques to analyze the ... Sentiment analysis is an NLP technique used to determine and extract the sentiments and opinions expressed in the text data. Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ...