Monitoring customer sentiment on social media has become a top priority for companies, which is why more and more businesses are turning towards easy-to-implement and powerful sentiment analysis tools.
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. First, though, let’s go over what a sentiment analysis tool is and what sentiment analysis can do for you.
A sentiment analysis tool is software that analyzes text data to help you quickly understand how customers feel about your brand, product or service. Sentiment analysis tools can automatically detect the emotion, tone, and urgency in online conversations, assigning them a positive, negative, or neutral tag.
You can opt to use ready-made sentiment analysis tools that come with APIs and integrations, or build your own using open-source software.
Need help deciding? Read this post on building vs buying analysis software.
Instead of manually labeling each Facebook comment or Tweet as positive or negative, you can harness the power of sentiment analysis to sort social media data automatically.
By connecting sentiment analysis tools to your customer service software, you can listen to your customers in real time, prioritize negative comments and, in doing so, prevent customer churn.
And you can transform all your sentiment data into insights that reveal trends and patterns over time. With sentiment analysis tools, turn your unstructured data into structured data so you can easily spot problem areas and make data-based decisoins that will drive your business forward.
To automatically detect positive and negative sentiment within your data, get started with some of the following online sentiment analysis tools.
MonkeyLearn’s products easily integrate with tools like Zendesk and Google Sheets and, if you know some code, you can also use the MonkeyLearn API to connect sentiment analysis tools to your stack.
You might also want to have a go at building your own sentiment analysis model without writing a single line of code. This will give you the freedom to train models using your own business data, and teach it to recognize industry-specific language
Once you’ve analyzed your data for sentiment, connect your results to MonkeyLearn Studio to see your sentiment analysis results in finite detail.
Lexalytics focuses on customer sentiment. It processes your texts (breaking them into sentences to evaluate elements like semantics and syntax) and then runs them through 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 you’ll need a data science background to understand how it works.
Schedule a demo to find out more.
Brandwatch's sentiment analysis tool tracks how your brand, product and logo are shared across millions of online sources. You can monitor mentions of your brand online to understand customer perception, detect fluctuations in sentiment, and measure brand visibility in real time, 24/7.
Also, the unique “image insights" feature lets you go beyond text data. By identifying images related to your brand, this clever tool can find out where your logo is appearing, and how it’s performing in terms of positive or negative.
Book a meeting to find out more.
Social Searcher monitors keywords, hashtags, and 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 teams that handle a lot of calls, such as sales and support
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 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.
Understand the sentiment of your social media mentions with Critical Mention. By tracking your mentions in real time, you’ll be able to carefully monitor your brand and take advantage of positive mentions and identify potential problems.
Track mentions and branded terms on Facebook, YouTube and Twitter, and search for keywords related to specific topics. Marketers can also use sentiment analysis to evaluate their brand health in the marketplace and perform competitive analysis. Easily connect Critical Mention to your other tools using the API for a seamless sentiment analysis experience.
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