How can sentiment analysis be used to analyze feedback on online communities?

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. Sentiment analysis is a technique used to determine the emotional tone behind a piece of text—whether it conveys a positive, negative, or neutral sentiment ... Evaluating customer sentiment. It can be used to find both an organization's happy and unhappy customers, giving insight into what's working for your business ... Sep 11, 2023 ... Opinionated pieces of text can be further divided into negative and positive, using polarity classification. This technique works for large- ... Drug sentiment analysis has become very significant in present times as classifying medicines based on their effectiveness through analyzing reviews from users ... Mar 11, 2025 ... AI-driven sentiment analysis can assess whether a brand's messaging aligns with customer perceptions. This alignment check empowers companies to ... Sep 18, 2024 ... While both are used to detect emotions, they analyze different types of data and employ different technologies. Sentiment analysis uses text and ... Nov 26, 2024 ... Beyond product analysis, sentiment analysis is widely used in social media monitoring, market research, and customer feedback analysis. ... 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 ... Sentiment Analysis predicts sentiment for each document in a corpus. It uses Liu & Hu and Vader sentiment modules from NLTK, multilingual sentiment lexicons.