10 Best AI Tools for Sentiment Analysis (Free & Paid)

In Digital marketing and customer feedback, understanding public sentiment is more crucial than ever. That’s where AI tools for sentiment analysis come in. Sentiment analysis tools, powered by Artificial Intelligence (AI), are transforming how businesses understand and respond to customer emotions across various platforms These tools analyze text from social media, customer reviews, and other sources to determine whether opinions are positive, negative, or neutral.

Using these AI tools, you can improve your customer service, create more effective marketing plans, and make smarter business choices. This is possible because these tools help you understand how people feel based on what they write in reviews, social media posts, and other feedback. In this article, we’ll explores the 10 best AI tools for sentiment analysis, covering both free and paid options.

Here’s a list of the 10 best AI tools for sentiment analysis. Thanks to advances in artificial intelligence, it’s now easier and more accurate to figure out people’s feelings from what they write. If you’re interested in learning about these tools, keep reading to see how they can help you better understand text like reviews and comments.

With the use of sentiment analysis, IBM Watson’s Natural Language Understanding platform can reliably ascertain the sentiment of text data. This helps businesses better comprehend consumer feedback by offering insightful information about language usage and emotions. When it comes to analyzing sentiments, IBM Watson’s Natural Language Understanding platform stands out as one of the best AI tools for sentiment analysis available in the market.

Features

• Advanced sentiment analysis algorithms.
• Multilingual support for diverse datasets.
• Real-time sentiment analysis capabilities.
• Customisable for specific business needs.

Pricing

• Starts at USD 140 per month

Link: https://www.ibm.com/products/natural-language-understanding

With the use of advanced machine learning algorithms and powerful sentiment analysis capabilities, Google’s Cloud Natural Language AI is one of the Best AI Tools for Sentiment Analysis, assisting businesses in assessing customer sentiment across a range of platforms. Google Cloud Natural Language AI is highly scalable, making it suitable for processing large text datasets efficiently. Its integration with other Google Cloud services enhances its usability for businesses already utilizing the platform.

Features

• High accuracy in sentiment analysis.
• Scalable for large text datasets.
• Easy integration with Google Cloud.
• Seamless integration with other services.

Pricing

• Price per 1,000-character unit

Link: https://cloud.google.com/natural-language/?hl=en

Microsoft’s Text Analytics service on Azure is one of the Best AI Tools for Sentiment Analysis. This powerful AI tool includes sentiment analysis capabilities. Businesses may get significant real-time insights into consumer opinions through its user-friendly API, empowering them to make data-driven decisions that work. Microsoft Azure Text Analytics supports multiple languages, allowing businesses to analyze sentiments across diverse customer demographics. Its integration with other Azure services enhances its functionality for comprehensive data analysis.

Features

• Simple sentiment analysis API integration.
• Support for multiple languages.
• Real-time sentiment analysis capabilities.
• Integration with other Azure services.

Pricing

• Pay as you go

Link: https://azure.microsoft.com/en-us/products/ai-services/ai-language

The AI platform Amazon Comprehend is a useful tool for businesses, considered one of the Best AI Tools for Sentiment Analysis. It uses machine learning algorithms to rapidly analyze text data, extract sentiment, and help businesses comprehend consumer thoughts and comments on a wide scale. Amazon Comprehend provides businesses with real-time sentiment analysis capabilities, allowing them to monitor customer sentiments in response to ongoing events or marketing campaigns. Its scalability makes it suitable for processing text data of any size.

Features

• Comprehensive sentiment analysis functionalities.
• Scalable for large datasets.
• Integration with AWS ecosystem.
• Real-time sentiment analysis capabilities.

Pricing

• $0.0005 per unit

Link: https://aws.amazon.com/comprehend/

With its user-friendly interface, MonkeyLearn’s adaptable AI tools for sentiment analysis that organizations can integrate into their operations to acquire useful insights into customer sentiments. MonkeyLearn offers integration with various platforms, allowing businesses to analyze sentiments expressed across different channels. Its real-time sentiment analysis capabilities enable businesses to stay updated with evolving customer opinions.

Features

• User-friendly sentiment analysis tools.
• Customisable models for specific needs.
• Integration with various platforms.
• Real-time sentiment analysis capabilities.

Pricing

• $299/month

Link: https://monkeylearn.com/

With AI tools sentiment analysis, Aylien offers a robust text analysis API. According to its sophisticated algorithms, organizations may successfully comprehend consumer feedback and market trends by precisely detecting sentiment polarity and emotions in text data. Aylien Text Analysis supports multilingual sentiment analysis, making it suitable for businesses operating in diverse markets. Its powerful sentiment polarity detection enables businesses to gain deeper insights into customer feedback.

Features

• Powerful sentiment analysis API.
• Accurate sentiment polarity detection.
• Support for emotion analysis.
• Multilingual sentiment analysis capabilities.

Pricing

• Starts at $49 per month

Link: https://aylien.com/

Businesses may use Clarifai’s sentiment analysis model into their apps to analyse text data. Businesses may obtain real-time insights into client feelings and views by utilising its deep learning capabilities, which enable it to precisely detect sentiment polarity. Clarifai’s sentiment analysis model is scalable, making it suitable for processing large volumes of text data efficiently. Its integration with third-party applications enhances its usability for businesses across different industries.

Features

• Sentiment analysis model integration.
• Real-time sentiment analysis capabilities.
• Deep learning-based sentiment analysis.
• Scalable for large datasets.

Pricing

• Start for free, pay as you grow

Link: https://www.clarifai.com/

Lexalytics’ Semantria platform offers a robust AI tools for sentiment analysis , enabling companies across various sectors to gain valuable insights from text data, including entity recognition and theme analysis. Lexalytics Semantria’s sentiment analysis tools provide businesses with real-time insights into customer feedback, enabling them to make data-driven decisions. Its integration with various frameworks enhances its functionality for businesses with specific requirements.

Features

• Robust sentiment analysis tools.
• Entity recognition for deeper insights.
• Theme analysis for comprehensive understanding.
• Real-time sentiment analysis capabilities.

Pricing

• $999 per month

Link: https://www.lexalytics.com/semantria/

For sentiment analysis applications, Hugging Face’s Transformers library provides pre-trained models. By customizing these models for particular use cases, developers enable organizations to make use of cutting-edge AI algorithms with sentiment analysis tools to efficiently comprehend client feelings and comments. Hugging Face Transformers’ pre-trained models offer businesses flexibility in sentiment analysis, making them suitable for various use cases. Its integration with popular frameworks enhances its usability for developers and data scientists.

Features

• Pre-trained sentiment analysis models.
• Fine-tuning for specific tasks.
• State-of-the-art AI algorithms.
• Integration with various frameworks.

Pricing

• Starts at $9 per month

Link: https://huggingface.co/

VADER is a popular rule-based AI tools for sentiment analysis tool. Its ease of use belies its accuracy in sentiment analysis results, which makes it a popular option for companies seeking to swiftly get insights into client attitudes and comments. VADER’s lexicon-based sentiment analysis tool is easy to use, making it accessible to businesses of all levels. Its fast processing capabilities enable businesses to quickly gain insights into customer attitudes and comments.

Features

• Lexicon-based sentiment analysis tool.
• Simple integration with applications.
• Fast sentiment analysis processing.
• No machine learning training required.

Pricing

• $3.67 per user/month

Link: https://github.com/cjhutto/vaderSentiment

As the field of artificial intelligence (AI) tools for sentiment analysis continues to grow swiftly, there will be several well-known solutions by 2024. IBM Watson Natural Language Understanding is still a highly respected solution because of its extensive collection of NLP tools and advanced sentiment analysis capabilities. Sentiment analysis is easily integrated into apps with Google Cloud Natural Language API, which continues to hold its position with great accuracy and scalability. Real-time sentiment analysis for a range of datasets is offered by Microsoft Azure Text Analytics, which also supports several languages.

Amazon Comprehend offers extensive sentiment analysis for big projects. Aylien Text Analysis has detailed APIs and tools for recognizing emotions, and MonkeyLearn is easy to use with customizable models. Other popular choices include Clarifai, Hugging Face Transformers, Lexalytics Semantria, and VADER. Each provides unique features that meet different business needs for analyzing sentiments.

In conclusion, choosing the right AI tools for sentiment analysis can greatly impact how your business understands and interacts with customers. Businesses may get insights into consumer moods and market trends by utilising a range of technologies, including the sophisticated algorithms of IBM Watson, the scalable solutions offered by Google Cloud, and the real-time capabilities of Microsoft Azure. Additionally, exploring the 10 Best AI Tools for Sentiment Analysis can further enhance their understanding and utilization of sentiment analysis in extracting valuable insights from textual data.

What separates opinion mining from sentiment analysis?

Opinion mining and sentiment analysis are closely related but distinct. Sentiment analysis focuses on identifying whether text conveys positive, negative, or neutral sentiments. In contrast, opinion mining delves deeper, aiming to extract subjective data like emotions, attitudes, and viewpoints from text.

How exact are the technologies for sentiment analysis?

Sentiment analysis tools’ accuracy hinges on text complexity, training data quality, and algorithm sophistication. Despite advances, challenges like sarcasm and context nuances remain, underscoring the need to assess tool performance with specific cases and data.

Which are some typical uses for sentiment analysis?

Sentiment analysis is used across various industries: monitoring brands on social media, ranking customer support tickets, understanding market trends, predicting investor emotions, and tracking public opinion on political matters.

Which AI is used for sentiment analysis?

 It typically uses AI technologies like Natural Language Processing (NLP) and Machine Learning (ML). 

Can ChatGPT do sentiment analysis?

Yes, ChatGPT can perform basic sentiment analysis by analyzing textual input to determine whether it conveys positive, negative, or neutral sentiment.

What tool is used for sentiment analysis?

Best sentiment analysis tools include:

1. HubSpot’s Service Hub
2. Sprout Social
3. Zonka Feedback
4. IBM Watson
5. Natural Language Toolkit (NLTK)