What are the challenges of performing sentiment analysis on text with ambiguous pronouns?

Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... Sep 9, 2021 ... Sentiment analysis defined. Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning ... 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 ... 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 ... 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 ... Sep 18, 2024 ... While both are used to detect emotions, they analyze different types of data and employ different technologies. Sentiment analysis uses text and ... Sep 28, 2024 ... How does Sentiment Analysis work? · Document-level – for the entire text. · Sentence-level – obtains the sentiment of a single sentence. · Sub- ... 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 ... A sentiment analysis tool can also be used for monitoring. As an extension of brand perception monitoring, sentiment analysis can be an invaluable crisis ... Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ...