What are the challenges of performing sentiment analysis on text with currency symbols?

Sentiment analysis is an NLP technique used to determine and extract the sentiments and opinions expressed in the text data. We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Mar 7, 2023 ... In this blog, we'll demonstrate how to perform sentiment analysis with the space features in BigQuery ML by training and inferencing machine learning models ... Oct 30, 2017 ... Sentiment analysis can be used for survey research, social media analyses, and tracking psychological trends. Picture software that scans ... May 31, 2024 ... The Cleveland Clinic, a renowned healthcare provider, uses AI sentiment analysis to gauge patient reviews and feedback. By identifying common ... Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. Jan 24, 2024 ... A sentiment analysis tool was used to categorize each comment as positive, negative, or neutral. Sentiment analysis Use Cases. The analysis ... Mar 23, 2023 ... Python is a popular programming language used for text analysis and mining, and the Natural Language Toolkit (NLTK) library is one of the most ... Mar 19, 2021 ... In this work, the sentiment analysis is performed with the help of the BERT model on the twitter data sets. The data set is categorized on the ... Meanwhile, the negative review results are used as recommendations for future improvements in tourist attractions. Keywords: text mining, sentiment analysis, ...