How can sentiment analysis be used to analyze feedback on training materials (open text fields)?

We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Jul 7, 2016 ... Sentiment analysis can also provide analytical perspectives for financial investors who want to discover and respond to market opinions [3, 4]. Sentiment analysis uses context from surrounding phrases to improve the detection rates of positive and negative sentiments. The use of context means that the ... Dec 17, 2023 ... Sentiment analysis, also known as opinion mining, is a technique used in natural language processing (NLP) to identify and extract sentiments or ... The sentiment analysis packages we will be used to obtain our sentiment scores are free-to-use and brought to you by the wonderful R community. Drug sentiment analysis has become very significant in present times as classifying medicines based on their effectiveness through analyzing reviews from users ... Nov 26, 2024 ... Beyond product analysis, sentiment analysis is widely used in social media monitoring, market research, and customer feedback analysis. Nov 20, 2024 ... Sentiment analysis in Slack involves evaluating the emotional tone of messages to gain insights into how employees feel about topics within their workplace. Mar 30, 2024 ... It's a form of data science that uses AI, machine learning, and natural language processing (NLP) to uncover human feelings within a message or ... A Sentimental Education: Sentiment Analysis Using Subjectivity. Summarization Based on Minimum Cuts. Bo Pang and Lillian Lee. Department of Computer Science.