What are the challenges of performing sentiment analysis on text with literary characters' names?

Apr 23, 2018 ... It is useful for business marketing to understand the public or consumer opinion toward their product [8]. Computerized software tools have been ... Jun 16, 2015 ... In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of sentiment analysis. Broadly speaking, sentiment analysis is most effective when used as a tool for Voice of Customer and Voice of Employee. Business analysts, product managers, ... Sentiment analysis provides an effective way to evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed ... 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, ... ... 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 ... Oct 30, 2017 ... Sentiment analysis can be used for survey research, social media analyses, and tracking psychological trends. Picture software that scans ... Sentiment analysis can also be used to track customer sentiment over time, helping decision-makers identify positive or negative long-term trends. 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 ...