What are the applications of sentiment analysis in cultural heritage?

Mar 14, 2025 ... SVM is a popular machine learning algorithm used in sentiment analysis models. It classifies text data by finding the optimal hyperplane that ... Feb 5, 2025 ... Learn the what, why and how of social media sentiment analysis: its importance, challenges, how to use sentiment insights for your business ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Apr 8, 2024 ... One example is market sentiment monitoring, which uses sentiment analysis to monitor overall sentiment and public opinion on industry trends, ... Feb 23, 2017 ... The basic theme is to reduce noise from the review text by applying different pre-processing steps and process through variant of classifiers. Dec 17, 2023 ... Sentiment analysis, also known as opinion mining, is a technique used in natural language processing (NLP) to identify and extract sentiments or ... Apr 23, 2018 ... It is useful for business marketing to understand the public or consumer opinion toward their product [8]. Computerized software tools have been ... Apr 7, 2022 ... This study performs both sentiment analysis and emotion detection using the tweets related to the cryptocurrency which are widely used for predicting the ... Sentiment analysis uses context from surrounding phrases to improve the detection rates of positive and negative sentiments. The use of context means that the ... Sentiment analysis is an NLP technique used to determine and extract the sentiments and opinions expressed in the text data.