What are some challenges in performing sentiment analysis on social media data?

Broadly speaking, sentiment analysis is most effective when used as a tool for Voice of Customer and Voice of Employee. Business analysts, product managers, ... Apr 15, 2022 ... Traditionally sentiment analysis is used to consider customer feedback, employee engagement, survey responses, and product reviews. Monitoring ... Jul 1, 2019 ... For this purpose, authors have used Twitter to detect and classify terrorist events by utilizing civilian sentiments. ... using sentiment analysis ... We present a new method for sentiment classification based on extracting and analyzing appraisal groups such as ``very good'' or ``not terribly funny''. An ... A Sentimental Education: Sentiment Analysis Using Subjectivity. Summarization Based on Minimum Cuts. Bo Pang and Lillian Lee. Department of Computer Science. Dec 5, 2022 ... Sentiment analysis of vegan related tweets using mutual information for feature selection. Elvina Shamoi 1 , Akniyet Turdybay 1 , Pakizar Shamoi 1 , Iskander ... Sentiment analysis can tell you which customers feel negatively about your brand for whatever reason. For example, you could find out that negative sentiment is ... Furthermore, we align these word embeddings and present a novel neural network model that is trained on English data to conduct sentiment analysis and then ... Jul 21, 2024 ... I'm looking to perform sentiment analysis using local Ollama models and would like your recommendations. Specifically, I'm interested in knowing which models ... Oct 25, 2022 ... Sentiment analysis classifies the sentiment of the reviews into positive or negative sentiment. You use the Sentiment workflow to train a BERT- ...