In this run down of the best AI sentiment analysis tools, we’ll introduce you to the most powerful solutions for monitoring customer sentiment across your social media channels but, first, let’s go over what sentiment analysis tools are and what they can do for you.
A sentiment analysis tool helps you quickly understand how customers feel about your brand, product or service by evaluating the emotion, tone, and urgency in online conversations. Instead of manually labeling each Facebook comment or Tweet as positive or negative, you can harness the power of sentiment analysis with machine learning to sort this data automatically.
Sentiment analysis tools are equipped with natural language processing (NLP), which enables machines to understand sentiments in human language and correctly classify customer feedback into sentiments.
You can opt to use ready-made sentiment analysis solutions that come with APIs and integrations, or build your own sentiment analysis tools in Python using open-source software.
Need help deciding? Read this post on building vs buying text analysis software.
Start automatically detecting positive and negative sentiment within your data in real time, and stay on top of urgent issues. Take your pick from these top online sentiment analysis tools and services:
Discover these best sentiment analysis tools, which are easy to use, out-of-the-box solutions. Want to build your own social media sentiment analysis tools in Python? You’ll need to be well-versed in Python and natural language processing (NLP) first.
MonkeyLearn is a no-code machine learning platform that features a pre-trained sentiment analysis model, with exceptional accuracy. It’s also simple to build your own sentiment analysis model without writing a single line of code.
Train your model with your business data for more accuracy, teach it to recognize industry-specific language, and connect it to your social media data via integrations (with Zendesk and Google Sheets), or the robust sentiment analysis API.
To make it even easier for you to get started, MonkeyLearn Studio is an all-in-one text analysis and data visualization suite that lets you choose from sentiment analysis templates, custom-designed for each data type (social media, reviews, surveys, etc).
Once you’ve uploaded your data, just run your analysis and visualize your data in real time.
Explore pricing for team and business plans.
Lexalytics is a tool that focuses on customer sentiment. It also uses NLP to process your texts (breaking them into sentences to evaluate elements like semantics and syntax) and then runs sentiment analysis to gauge the feelings and emotions behind customers’ words. Once the sentiment analysis is over, the tool delivers a set of visual results.
You can customize the tool in different ways, though this option is aimed at data scientists and other specialists in the field.
Schedule a demo to find out more.
Brandwatch lets you know how your brand, product and logo are shared across millions of online sources.
Their unique “image insights" feature allows you to identify images related to your brand, find out where your logo is appearing, and how it’s performing.
Monitor mentions of your brand online to understand customer perception, detect fluctuations in sentiment, and measure brand visibility in real time, 24/7.
Book a meeting to find out more
Social Searcher is a social media engine that monitors keywords, hashtags, or usernames across all social media platforms. You’ll receive a bunch of social analytics, including audience insights, popular hashtags, and social influencers.
The free version includes a sentiment analysis tool, which provides the overall sentiment of social media data on each platform and a breakdown of popular posts that have been categorized as negative and positive.
Perform multilingual sentiment analysis using MeaningCloud's Sentiment Analysis API. This online tool runs aspect-based sentiment analysis to decide whether specific topics are mentioned in a positive, negative, or neutral way.
Additionally, you can define a dictionary to include any specific vocabulary that you might use in your field.
Some of MeaningCloud’s best features are the detection of global sentiment (a general view of what the customer expressed in a certain text), identification of opinion versus fact, and spotting sentiment within each sentence of a text.
Quick search is a social media search engine from Talkwalker. This tool allows you to get insights from all your brand mentions by automatically analyzing social media communications. It's useful for evaluating campaign outcomes, getting content ideas, and discovering new trends.
Quick Search can perform sentiment analysis on your social mentions, in 25 languages! Real-time social listening lets you stay on top of every issue as it happens and helps you understand how customers feel about your brand or product.
Working with Rosette's sentiment analysis tool is a breeze. You can use the API to perform sentiment analysis on social media data, as well a more fine-grained analysis. For example, the sentiment expressed by customers when they mention a specific product, company, or person.
Rosette is able to identify parts of speech by means of morphological analysis and lemmatization (the grouping of inflected word forms so they are not analyzed separately). If you’re a global company you can train Rosette’s sentiment analysis tool to identify up to 30 languages.
Repustate’s sentiment analysis software can detect the sentiment of slang and emojis to determine if the sentiment behind a message is negative or positive. Repustate offers a free trial so you can try the tool to see if it really suits your needs.
Customize the API to identify one of 23 languages, and train sentiment analysis models to recognize alternative meanings of words, to gain even more accurate sentiment insights.
Clarabridge provides tools that deliver metrics about your customers’ feelings in all types of data: social media, emails, chats, surveys.
Clarabridge also focuses on Speech Analytics, performing sentiment analysis on audio data. This is particularly useful for companies that rely on calls as a sales and support. However, with audio going mainstream on social media, it’s only a matter of time before you’ll need software that can detect tone and subtle cues to interpret sentiment.
Understand the severity and impact of news events and stories in real-time with Aylien News API. Detect sentiments across news stories and dive deeper into topics with aspect-based sentiment analysis.
The text analysis platform also allows you to build your own models hassle-free, and you don’t need to know a lot about machine learning or NLP to get started.
Social Mention is a free sentiment analysis tool for social media that is extremely simple to use. Users can search for any keyword and receive a complete analysis of how that keyword is performing.
This analysis includes a summary of the overall sentiment of the keyword, the sentiment of each mention, and the amount of positive, negative, or neutral comments the keyword has.
While all the above tools are great for sentiment analysis, MonkeyLearn might just sway you, with its intuitive interface, easy implementation, and smooth customizability. And don’t forget that you can easily integrate it with apps you use every day to automate your business workflows!
Request a demo if you’d like to know more about how to do sentiment analysis with our easy-to-use software.
October 28th, 2019