What are the applications of sentiment analysis in archaeology?

Sep 15, 2018 ... The traditional approaches to Twitter Sentiment Analysis (TSA) include dictionary-based and use supervised machine learning tools for sentiment ... Mar 11, 2025 ... AI-driven sentiment analysis can assess whether a brand's messaging aligns with customer perceptions. This alignment check empowers companies to ... Sentiment analysis is an NLP technique used to determine and extract the sentiments and opinions expressed in the text data. Drug sentiment analysis has become very significant in present times as classifying medicines based on their effectiveness through analyzing reviews from users ... 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 ... A Sentimental Education: Sentiment Analysis Using Subjectivity. Summarization Based on Minimum Cuts. Bo Pang and Lillian Lee. Department of Computer Science. 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 ... 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. Jun 16, 2018 ... We present a novel feature fusion strategy that proceeds in a hierarchical fashion, first fusing the modalities two in two and only then fusing all three ... Sep 9, 2021 ... Sentiment analysis defined. Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning ...