What are the challenges of performing sentiment analysis on text generated by AI?

Thirdly, a Textual Analysis was carried out on the topics in each sentiment with Text Data Mining techniques using Nvivo software. This research has detected ... A Sentimental Education: Sentiment Analysis Using Subjectivity. Summarization Based on Minimum Cuts. Bo Pang and Lillian Lee. Department of Computer Science. Sentiment Analysis predicts sentiment for each document in a corpus. It uses Liu & Hu and Vader sentiment modules from NLTK, multilingual sentiment lexicons. Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... Jan 16, 2023 ... Hidden information could be discovered using VADER and TextBlob Sentiment Analysis. This information is usually hidden in collected and stored ... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with ... Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. Jun 18, 2018 ... There has been substantial work on sentiment classification on reviews and comments from interactive websites using machine learning techniques ... Oct 9, 2020 ... I'll start by defining the first unusual term in the title: Sentiment Analysis is a very frequent term within text classification and is ... Mar 23, 2023 ... Python is a popular programming language used for text analysis and mining, and the Natural Language Toolkit (NLTK) library is one of the most ...