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

Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. Aug 8, 2022 ... Sentiment analysis predominantly uses NLP and ML to make sense of the linguistic nuances observed in user interactions. The foundations of ... Jul 22, 2024 ... Applying LLMs to sentiment analysis. Sentiment analysis is a use case that is deeply affected by LLMs due to their ability to understand context ... ... used for fine-tuning the LLM (Step 4). State-of-the-art pre-trained LLMs can perform sentiment analysis without any fine-tuning using zero-shot or few-shot ... Mar 19, 2021 ... In this work, the sentiment analysis is performed with the help of the BERT model on the twitter data sets. The data set is categorized on the ... 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, ... Specifically, the self-attention mechanism enables AMIC to generate context-aware word embeddings, assigning document-specific sentiment scores to words based ... Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Apr 15, 2022 ... Traditionally sentiment analysis is used to consider customer feedback, employee engagement, survey responses, and product reviews. Monitoring ... Feb 18, 2025 ... Use Zonka Feedback's sentiment analysis capabilities to gauge the emotional tone of customers. Collect feedback, get in-depth insights, and take data-driven ...