How does tokenization affect sentiment analysis?

Apr 23, 2018 ... Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations ... Jun 13, 2024 ... In this study, we address the gaps by developing a deep learning-based approach for sentiment analysis. We have collected 24,360 comments from ... Sentiment analysis is an NLP technique used to determine and extract the sentiments and opinions expressed in the text data. Feb 21, 2022 ... Sentiment analysis is a way of using computers to evaluate the emotion or connotation of words within texts. Feb 26, 2018 ... In essence, it is the process of determining the emotional tone behind a series of words, used to gain an understanding of the the attitudes, ... May 15, 2022 ... This tool was used to collect and analyze tweets at scale in real time to study sentiment and key terms of interest. Separate tweet analysis ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Mar 11, 2025 ... AI-driven sentiment analysis can assess whether a brand's messaging aligns with customer perceptions. This alignment check empowers companies to ... Jun 13, 2023 ... During market research, sentiment analysis can be utilized to look into general target audience segments. It can help define and further explain ... Sentiment analysis can tell you which customers feel negatively about your brand for whatever reason. For example, you could find out that negative sentiment is ...