Sentiment Analysis
Sentiment Analysis Benchmark Testing: ChatGPT, Claude & DeepSeek
With the growing demand for accurate sentiment classification, researchers have utilized various sentiment analysis models, techniques, and datasets to advance the field. However, achieving precise labeling of emotions and sentiments, as well as detecting irony, hatefulness, and offensiveness, remains a challenge, requiring further testing and refinement. Explore the sentiment analysis benchmark performance of ChatGPT 4.
Top 7 Examples of ChatGPT Sentiment Analysis in 2025
A study estimated that 80% of companies will adapt to solutions that utilize sentiment analysis in 2023. Sentiment analysis is a Natural Language Processing (NLP) method that classifies texts, images, or videos based on the emotional tone as negative, positive, or neutral.
Top 3 Sentiment Analysis Services in 2025
While many sentiment analysis tools are available, an emerging trend is the use of sentiment analysis services, which offer the advantages of crowdsourced human-labeled data and domain-specific expertise.
![Fake Review Detection ['25]: How it works & 3 Case Studies](https://research.aimultiple.com/wp-content/uploads/2023/01/Google-trends-data-visualization-template-9-190x107.png.webp)
Fake Review Detection ['25]: How it works & 3 Case Studies
While shopping online, ~80% of customers read online reviews or comments on products and services before any purchase. However, some of these reviews can be fraudulent as promoting certain products or depreciating them and, as a result, misguide buyers. Indeed, 2.
MonkeyLearn Evaluation and Top 3 Alternatives in 2025
Research shows that as the data accumulates, it becomes difficult to analyze the thoughts and sentiments of customers; as a result, the demand for sentiment analysis services is rising at a great pace. Thus, evaluating the best sentiment analysis services in the market before initiating any premature investments can be worthwhile.
Sentiment Analysis Machine Learning: Approaches & 5 Examples
It is not surprising that the use of AI in the workplace has increased by 270% from 2015 to 2019, considering the data available and its exponential growth.
![Cryptocurrency Sentiment Analysis ['25]: An In-Depth Guide](https://research.aimultiple.com/wp-content/uploads/2022/09/Collect-c-190x107.png.webp)
Cryptocurrency Sentiment Analysis ['25]: An In-Depth Guide
The cryptocurrency market has grown up to more than $2.5 trillion in 2024. However, investing in cryptocurrency can be risky as there can be extreme fluctuations in the market.
Crowdsourcing Sentiment Analysis in 2025
“There is too much data but too little time.” – Jeanine Evers, Qualitative Researcher at Erasmus University Rotterdam. As consumer data grows exponentially, it becomes challenging to analyze all of it. So, companies started to use machine-based algorithms to understand their customers’ feelings and thoughts.
Sentiment Analysis Datasets 2025: Twitter and Amazon
Sentiment analysis is a great way to understand the customers’ feelings toward a company and to see if they are associated with sales, investments, or agreements. Ensuring a reliable sentiment analysis depends on many factors, and one of its building blocks is the dataset used to train the models.
Top 3 Applications of E-Commerce Sentiment Analysis ['25]
The e-commerce market is estimated to surpass $5 trillion by 2026. However, as the needs of consumers and businesses are constantly evolving, companies face difficulty in maintaining high customer satisfaction levels to stand out in the market. E-commerce businesses increasingly use sentiment analysis to overcome this issue and better understand their customers.