What are the challenges of performing sentiment analysis on text with code-mixed language?

In the second section, a stratified taxonomy of SA tools is proposed, which distinguishes: (1) the emotion theory adopted by the tool; (2) the method used to ... 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. Aug 8, 2022 ... Sentiment analysis predominantly uses NLP and ML to make sense of the linguistic nuances observed in user interactions. The foundations of ... This is a popular way for organizations to determine and categorize opinions about a product, service or idea. Sentiment analysis involves the use of data ... 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, ... 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 ... Apr 8, 2024 ... One example is market sentiment monitoring, which uses sentiment analysis to monitor overall sentiment and public opinion on industry trends, ... Apr 23, 2018 ... This study suggests that there is a need for an accurate and tested tool for sentiment analysis of tweets trained using a health care setting–specific corpus. Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. Jun 12, 2023 ... Using sentiment analysis tools, you may measure how potential consumers perceive you. Analyzing social media and survey data, you can gain ...