What are the challenges of performing sentiment analysis on code comments?

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 ... Jun 16, 2015 ... In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of sentiment analysis. 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 ... Mar 11, 2025 ... AI-driven sentiment analysis can assess whether a brand's messaging aligns with customer perceptions. This alignment check empowers companies to ... Dec 11, 2023 ... It uses lists of words and phrases (lexicons or dictionaries) that are linked to different emotions to label the words (e.g. positive, negative, ... Oct 20, 2020 ... Build Logic Based on Respondent Sentiment. If you are using a Textbox and/or Essay / Long Answer question to collect open-ended responses in ... Nov 8, 2024 ... Yes, an AI system for sentiment analysis can be an AI system to infer emotions of a natural person in the workplace or educational institutions. Sentiment analysis provides an effective way to evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral. Jun 18, 2018 ... There has been substantial work on sentiment classification on reviews and comments from interactive websites using machine learning techniques ... Meanwhile, the negative review results are used as recommendations for future improvements in tourist attractions. Keywords: text mining, sentiment analysis, ...