The best AI sentiment analysis tools in 2021
Sentiment analysis tools will collect all publicly available mentions containing your predefined keyword and analyse the emotions behind the message. The results of sentiment analysis are a wealth of information for your customer service teams, product development, or marketing.
Back in the day, you had to analyse hundreds of comments, posts, and survey responses to even get started with sentiment analysis. Now, you can use one of many sentiment analysis tools which will automate the process and provide your team with the insights they need to achieve their goals. Sentiment analysis should be inherent part of your media monitoring project.
Opinion mining tools are usually quite expensive. Fortunately, we’ve managed to compile a comprehensive list of sentiment analysis companies. You will find both free sentiment analysis tools as well as more advanced, paid pieces of software.
Let’s take a closer look at the selection of the best sentiment analysis tools in 2021 and discover a bit more about the process itself.
The 10 best AI sentiment analysis tools out there – both paid and free. Let’s have a look at them!
- Hi-tech BPO
- Social Mention
- Social Searcher
- Sentiment Analyzer
- Meaning Cloud
- Tweet Sentiment Visualization
- Hootsuite Insights
- Talkwalker’s Quick Search
If you want to know why you should implement a tool to your business processes, just jump to one of this paragraphs:
- What are sentiment analysis tools?
- The benefits of using the best sentiment analysis tools
- Social media sentiment analysis
- Why do you need a sentiment analysis tool?
Top AI sentiment analysis software
Brand24 is a media monitoring tool in its essence and sentiment analysis is just one of the features you can use to your advantage. Brand24 offers web and social media monitoring. The tool covers all major social media networks, blogs, forums, web, news sites, podcasts, and newsletters.
Sentiment analysis algorithm is applied to all collected mentions and social media posts. Brand24 covers the majority of online sources, including:
- blogs and forums
- social media platforms, including Facebook, Twitter, Instagram, YouTube, and Twitch
- news sites
Brand24 collects mentions in real-time and offers robust media monitoring analytics. That’s why it’s one of the best sentiment analysis tools on the market.
Thanks to sentiment analysis, you can not only track your brand online but also determine brand sentiment.
It can be used inside the different tabs of the tool’s dashboard. Brand24 applies machine learning algorithms and natural language processing to analyse the text data in real-time.
Thanks to Brand24 you can easily check which mentions are positive, negative, or neutral.
First and foremost, we need to take a look inside the Mentions tab.
The green and red lines on the bottom part of the graph represent changes in sentiment score over time. The spikes and dips make it easy to identify what were the reasons for changes of sentiment.
Additionally, you can filter your mentions based on sentiment:
Here is some sentiment analysis example!
If you want to go deeper with your analysis, visit, well, the Analysis tab:
Alternatively, you can also have a peek inside the Summary tab:
What’s more you can easily export the results into PDF reports to show the results of your work to your supervisors. The PDF reports contain analysis of your social media sentiment analysis as well as other data that help you achieve your goals.
Clarabridge’s sentiment analysis tool is a part of their Customer Experience Management solution, which consists of CX Analytics and CX Social.
They use an 11-point scale to index the sentiment of collected content. Grammar, context, industry and source are all taken into account while scoring a piece of text.
I am amazed by the example they point out:
We know customers are pleased when they mention how “thin” their new laptop is, but that they’re complaining when they talk about the “thin” walls in your hotel.
And I take their word for it!
This sentiment analysis tool is perfect for collecting customer feedback and find positive, negative or neutral opinions.
You need to request a demo to get a quote for CX Analytics. At the same time, you can try CX Social that covers social media monitoring for 14 days for free.
Repustate is a sentiment analysis tool that provides text analytics for businesses in 17 different languages. Before the actual analysis takes place, the tool triggers a mechanism known as part-of-speech tagging, which is based on the decomposition of blocks of text into grammatical parts:
Once this part is done, it’s way easier to state which phrases are the most interesting from the sentiment analysis standpoint.
It’s vital to point out the tool puts emphasis on a variety of other factors, such as lemmatization, prior polarity, etc.
Repustate offers a free trial. You can take it for a spin before you eventually decide to go for one of the paid plans ranging from $99 to $1699.
OpenText Sentiment Analysis Tool is a part of a broader OpenText Content Analytics platform. It is a specialized classification that you can use to identify and evaluate subjective patterns and expressions of sentiment within textual content.
The analysis takes place on three different levels: topic, sentence, and document. It’s programmed in a way so that it can recognize if the portions of text are factual or subjective. Speaking of the latter, it’s also meant to evaluate whether the opinion expressed within particular pieces of content are positive, negative, mixed, or neutral.
The OpenText offers full support of five languages: English, German French, Spanish, and Portuguese.
Similarly to other, robust sentiment analysis tools on the list, you need to fill out a contact form in order to find out what price points we’re talking about here.
ParrallelDots is an applied AI research group and the sentiment analysis tool is just one of their services. Actually, their offering can be distinguished into Products, APIs, and Plugins, which is where their sentiment analysis tool falls into.
Their sentiment analysis API uses Long Short Term Memory (LSTM) algorithms to classify a text blob’s sentiment into positive or negative. LSTMs model sentences as a chain of forget-remember decisions based on context. It is trained on social media data and news data differently for handling casual and formal language.
The user interface is easy to use. You can spot the most important information right away.
This sentiment analysis tool works in 14 different languages. You can sign up for a free account and use a free forever plan which you can use to test their APIs, build MVPs, or finish your personal projects.
In case you need some more firepower, you can choose one of the 5 available plans priced $79-$499 as well as a custom plan.
Whether you’re processing high volumes of text data, need security to run the system behind your firewall, or want to tune and configure your text analytics, Lexalytics has got you covered.
They explain how text analytics platform works in three steps:
- First, with the use of text deconstruction and natural language processing, they brake phrases and sentences apart to evaluate semantics, syntax, etc.
- The second step is where sentiment analysis comes into play, along categorization, name entity recognition, intention detection, and more
- Lastly, structured data and conclusions are transferred into their data visualization suite or business intelligence platforms so that it’s easier for the user to conduct historical and predictive analytics.
They claim lots of tools can tell you who’s talking and what they are talking about, some of those tools can tell you how those people feel, but only Lexalytics gives you the why. The analysis if audience sentiment can have a huge impact on your business bottom line.
You can find information about the pricing upon scheduling a product demo.
7. Hi-Tech BPO
Hitech is a robust sentiment analysis software with services ranging from data analytics, market intelligence, data processing and a sentiment analysis tool. They pride themselves in extracting meaning from product and service review in the form of text, speech, emoji, images, visuals etc.
They divide sentiment analysis into four different segments:
- Opinion mining that focuses on assessing an opinion and its polarity
- Text mining
- Social sentiment
- and social listening
No fixed pricing is available so if you’re interested in their services, use the contact form for any business inquiries with a few details of what your needs are.
8. Social Mention
Social Mention is a free social media search engine that aggregates user-generated content from across the social media. The tool collects data from platforms such as Reddit, Flickr, or Google News. It also offers Twitter sentiment analysis.
Following the information from their website, the platform monitors 100+ social media properties. You don’t need to set up an account to start monitoring a topic or your brand, which is pretty cool, but you also won’t be able to save your results for the future.
Still, considering it’s a free sentiment analysis tool it provides valuable information for those just starting with social media monitoring.
As you can see on the image above, the sentiment is one of the provided metrics that shows exactly how many positive, negative or neutral mentions of a given keyword were collected. On top of that, all mentions are accordingly marked with green, red or grey dots.
It is a free sentiment analysis tool.
9. Social Searcher
Social Searcher looks like Social Mention on steroids. It’s a product with a variety of tools such as Social Buzz, Google Social Search, Media Monitoring, etc.
You can use it without registering an account, but there are obvious benefits for creating one. In fact, you can stay on a free plan or alternatively pick one of the other three ranging from 3,49 to 19,49 Euro per month.
As far as sentiment analysis goes, each mention has green, grey or red dots assigned to them, that correspond to the sentiment of respective mentions.
On top of that, you can apply sentiment filters so that you can only see a particular set of mentions.
Detailed statistics give you an overview of the sentiment looks like on separate media platforms.
10. Sentiment Analyzer
Sentiment Analyzer is a free sentiment analysis tool that allows conducting research on any text written in English. It scales between -100 and +100, with the former being negative and the latter being positive.
It doesn’t pull data automatically so you need to paste the content that you want to analyse yourself. It was built with the use of 8,000+ writing samples of spoken conversations.
Note that the tool provides the general sentiment for the whole piece of analysed content, which means that even if we have extremely negative expressions, the whole text might not necessarily be evaluated as negative as long as there are enough positive words as well, as the tool considers all of the text in the sample.
Sentigem is pretty similar to Sentiment Analyzer that we’ve already discussed. You simply paste a block of text that you want to inspect, click Analyse, wham, bam and you’re done! The sentiment behind the mention is there!
As we learn, the text analysis tool is in the phase of public beta, which means the version we can test is still in development and encountering some errors is possible.
The creators of the tool are proud of the speed with which Sentigem analyses content and I can vouch for it – I pasted huge chunks of text into the tool and got the results in real-time!
Sentistrength provides automatic sentiment analysis of up to 16,000 social web texts per second with up to human level accuracy for English.
Unlike any other on the list, it’s downloadable software that is primarily a Windows program but works with Crossover on a Mac, Linux, and Android), However, you can see it in action in a web-based version as well.
It boasts human-level accuracy for a majority of web texts in English.
It’s based on two sentiment strengths:
- -1 (not negative) to -5 (extremely negative)
- 1 (not positive) to 5 (extremely positive)
The reason why it uses two scores lies in psychology research that revealed people process positive or negative sentiment in parallel.
As the maker of the tool says, keep in mind the results are not always accurate. It’s because they are guesses using a set of rules to identify words and language patterns usually associated with the sentiment.
13. Meaning Cloud
The sentiment analysis tool is just one of the products on the robust list from Meaning Cloud. Their API analyzes the text by identifying individual phrases and evaluating the relationship between them.
To go deeper into the details, some of the features are:
- Global sentiment, which is a general opinion expressed in a given mention
- Sentiment at attribute level that provides a detailed analysis of sentiment of each sentence
- Identification of opinions and facts
- Detection of irony ( I am super curious how that works, as irony and sarcasm are sometimes difficult to read in face-to-face conversations, let alone text mining)
- Graduate polarity which means the distinction between the biggest differences in sentiment
- Agreement and disagreement, so messages for and against the analysed content
As far as the level of accuracy goes, it’s obviously never a 100%, mostly because of the number of factors a tool has to take into consideration while evaluating the sentiment. Sometimes you have to take the coverage at the expense of accuracy, and vice versa.
14. Tweet Sentiment Visualization
Now, this one’s pretty cool! Even though it’s a sentiment analysis tool that will only help you with Twitter, it provides value on the spot, for free. What you need to do is to choose a keyword you want to analyse and simply put it into the dashboard. It may be the name of your brand. Then, keywords are pulled from Twitter and visualised on a number of different graphs, starting with the sentiment.
When you hover over the dots on the graph, you get to read the actual content of the collected tweets.
Apart from sentiment, you can analyse your tweets in terms of Topics, Heatmaps, Tagcloud, Timeline, Affinity, and more.
What’s cool is that you can query multiple keywords at once by using boolean operators.
The way they estimate sentiment is based on searching tweets for words in the dictionary and combining those words’ pleasure and arousal ratings to estimate the general sentiment for a given tweet.
Rapidminer is a data science platform that spices up analytics with artificial intelligence.
As they say, Rapidminer unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. That includes text analysis and mining as one of the solutions Rapidminer has on offer.
They emphasize how data is no longer just about numbers and figures but qualitative, textual content. The pricing structure seems a little bit complicated at first glance and is divided according to four different products, but you can test their text mining capabilities for 30 days for free.
16. Hootsuite Insights
As their slogan goes, Hootsuite Insights provides richer social listening and helps you make smarter business decisions. Once again, it’s one of the many products in a bigger arsenal of the social media management legend. Sentiment analysis tool provided by Hootsuite Insights helps you understand sentiment behind your brand.
The platform will help you mine your customer opinions and share the insights with your team. Social media data will be beneficial in improving your business’s bottom line.
Once you find out what’s the people’s attitude towards your brand, you can filter your mentions by language, location and gender. This helps you build your market segment in a more structured and detailed way.
Real-time access to data from more than 100 million sources in over 50 languages helps you monitor conversations across social, blogs, forums, etc.
17. Talkwalker’s Quick Search
It’s one of a few products from Talkwalker, a social media search engine that helps you take care of your brand. As the landing page copy for the Quick Search states, you should find it helpful for finding content ideas, influencers and discovering trends.
Talkwalker also claims Quick Search offers image recognition which I sadly haven’t tested. There’s no free trial you can sign up for right away but you can schedule a personalised demo.
The cool thing is you can compare sentiment between two different brands or products so that you know how you stack up against competitors. Talkwalker is one of the listening tools that will help you get a grid on your social networks
What are sentiment analysis tools?
Sentiment analysis tools provide a thorough text analysis using machine learning and natural language processing. It means that the more online mentions are analysed, the more accurate results you will get.
Sentiment analysis tools help you identify how your customers feel towards your brand, product, or service in real-time. Knowing how people feel about your brand online, can help you make smarter business decisions.
Sentiment analysis models can correctly classify sentiment and leave you with actionable insights that you can apply across various departments of your company.
The benefits of using the best sentiment analysis tools
Sentiment insights can have a positive impact on your business bottom line.
As mentioned before, tracking mentions of your brand and analysing the sentiment will help you get customers’ feedback right at the source.
Sentiment analysis tools will also help you:
- measure your PR and marketing campaigns
- build and protect brand reputation
- manage brand reputation crises
- prepare content your target audience likes and wants to interact with
- get actionable customer feedback
- analyse customer sentiment towards your particular products or services
- improve customer experience over time
To profit from sentiment analysis, you need to choose the best sentiment analysis tool, a tool that will meet your needs. There are plenty of tools available on the market. That is why we prepared a short list of best of the best sentiment analysis tools to make your decision-making process a bit easier.
The ability to use sentiment analysis tools is a blessing, especially considering the amount of data that needs to be analysed in order to draw conclusions and make informed business decisions.
Social media sentiment analysis
Social media plays a huge part in our lives. Many customers leave reviews, share their opinions, and recommend products on Twitter, Facebook, Instagram, or YouTube.
That’s why it’s important to perform a real-time social media analysis.
You will be able to react swiftly to complaints, spot the most interesting content you can share. Moreover, you will be able to analyse your content strategy in depth and provide the content your audience wants to interact with.
Analysing the sentiment around your brand will help you get the context you need to achieve your business and marketing goals.
Measure brand health
Sentiment analysis is essential when it comes to measuring and protecting your brand health. And brand health is one of the most important metrics that can help you understand your brand’s online presence.
You can use sentiment analysis to assess your social media channels. Spot the negative comments, react in time to all customers queries, both positive and negative, and protect your brand reputation. Analysing customer interactions will tell you what is working and what is not when it comes to your marketing strategy.
Why do you need a sentiment analysis tool?
As you can see, there are quite a few alternatives to choose from sentiment analysis programs – both paid and free!
Calculating sentiment score will help you across many different departments of your organization. The process will help you to increase your brand awareness and raise customer satisfaction. Listening to your customers opinions will help you improve your product.
Your audience will leave actionable insights online. Part of your job is to listen to your customers and help them overcome their problems.
Sentiment analysis tools can be invaluable as far as brand reputation management is concerned. Even using the free ones, with all their limitations, can save your business from potential PR crises and financial losses.
While sentiment analysis tools are amazing additions to the marketers’ toolkits, just like people, they sometimes make mistakes. Keep that in mind anytime you do the sentiment analysis (a.k.a. opinion mining) for your brand, product, service, or clients you work for.
What do I mean by saying this? Think of someone being sarcastic or just joking about a brand on social media. In such instances, people tend to use words that carry negative meaning, but the whole expressions don’t necessarily have to be negative in general when you take the whole context into consideration. Have a look at the example below:
As you can see, this particular mention was labeled as negative, even though it doesn’t actually carry a negative meaning. However, the word guilty caused the tool to classify it as negative sentiment.
While we still need to be aware of how they can sometimes make mistakes while evaluating social mentions, there’s no better way to stay on top of the emotions towards your businesses than using one of the best sentiment analysis tools on this list!