What are the challenges of performing sentiment analysis on text with unclear intent?

Apr 15, 2022 ... Traditionally sentiment analysis is used to consider customer feedback, employee engagement, survey responses, and product reviews. Monitoring ... 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 can tell you which customers feel negatively about your brand for whatever reason. For example, you could find out that negative sentiment is ... Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. Feb 2, 2022 ... Sentiment analysis is a natural language processing technique that identifies the polarity of a given text. There are different flavors of ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... 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 ... Cornerstone Research uses the most modern and defensible natural language processing methods to enhance the discovery process and support expert testimony. Our ... Aug 8, 2022 ... Sentiment analysis predominantly uses NLP and ML to make sense of the linguistic nuances observed in user interactions. The foundations of ... Apr 23, 2018 ... Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations ...