What are the challenges of performing sentiment analysis on text with political figures' names?

Nov 26, 2024 ... Beyond product analysis, sentiment analysis is widely used in social media monitoring, market research, and customer feedback analysis. The 8 Top Sentiment Analysis Python Packages & Libraries · #1 NLTK. NLTK (Natural Language Toolkit) is a Python library for natural language processing that ... 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. A Sentimental Education: Sentiment Analysis Using Subjectivity. Summarization Based on Minimum Cuts. Bo Pang and Lillian Lee. Department of Computer Science. 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 ... Feb 2, 2022 ... Sentiment analysis is a natural language processing technique that identifies the polarity of a given text. There are different flavors of ... Sentiment analysis uses context from surrounding phrases to improve the detection rates of positive and negative sentiments. The use of context means that the ... Jan 16, 2023 ... Hidden information could be discovered using VADER and TextBlob Sentiment Analysis. This information is usually hidden in collected and stored ... 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 ... This is a popular way for organizations to determine and categorize opinions about a product, service or idea. Sentiment analysis involves the use of data ...