8 Best Sentiment Analysis Tools to Detect Brand Sentiment

Today, almost all online communications are in the form of text. Emails, live chats, social media comments, tweets, the list is endless. It’s impossible for customer service teams to cope with the high volumes of information produced on a daily basis. Instead, companies need to implement sentiment analysis tools that can help filter and interpret all the texts they receive.

Discovering how customers feel toward a product or service is essential, but analyzing this data by hand is inefficient and boring. 

Sentiment analysis tools use Natural Language Processing (NLP) to examine pieces of text and automatically evaluate the overall feeling behind your customers’ messages, classifying them into positive, negative, or neutral.

You can build your own sentiment analysis from scratch using open source libraries, but this process is quite demanding in terms of time and resources. Plus, you’ll need experience in coding and machine learning to build an effective and reliable sentiment analysis model.

Sentiment analysis SaaS tools come in handy if you want to avoid the hassle of building a model from scratch. They are ready to use, so you won’t need to set up any infrastructure. Also, some sentiment analysis tools easily connect to everyday tools like Google Sheets,  Excel, and Zapier. 

 Let’s take a look at the top eight tools for sentiment analysis in 2020.

1. MonkeyLearn 

MonkeyLearn is a user-friendly machine learning platform for analyzing text. Try the pre-trained sentiment analysis model for free! 

Visit MonkeyLearn to connect sentiment analysis models to your favorite apps (such as Excel, Google Sheets, Zapier, or Zendesk). If you are looking for more accuracy or need a tailor-made model to suit your industry-specific texts, you can train your own sentiment analysis model – without entering a single line of code.

Tagging texts is very intuitive and fast, and you even have performance stats to debug your model once it’s ready, giving you reliable and accurate results in no time.

Pricing: Includes a free plan. Premium plans start at $299 a month. 

2. IBM Watson 

IBM Watson is a multi-cloud platform that offers many APIs for sentiment analysis based on NLP. The Watson Tone Analyzer, for example, which focuses on support tickets and satisfaction surveys and monitors agent sentiment – whether they’re polite and eager to help, and if they truly solved the customer’s issue. 

IBM Watson has a comprehensive approach to text analytics, flexible enough to meet the needs of any client, no matter your industry or field.

Pricing: Includes a free plan. Premium plans depend on the number of predictions needed. 

3. Lexalytics 

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.

Pricing: Variable. Schedule a demo to find out more.

4. MeaningCloud 

If you would like to perform multilingual sentiment analysis using an API, MeaningCloud has got you covered. This online tool runs aspect-based sentiment analysis to decide whether the texts are positive, negative, or neutral. It is also able to detect irony and polarity. 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. 

Pricing: Includes a free plan. Premium plans start at $100 a month.

5. Rosette 

Working with Rosette is a breeze. This is an API that uses AI to analyze natural language. It was first used to perform sentiment analysis on social media, but eventually branched out to analyze entire documents and individual entities mentioned in the text, 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 an international company you can train Rosette’s sentiment analysis tool to identify up to 30 languages. 

Pricing: Variable.

6. Repustate 

Repustate offers an online tool for sentiment analysis that provides insights into 23 different languages. This software can even assess the sentiment behind slang, such as FYI, bc, tbh, and also emojis to determine if the sentiment behind a message is negative or positive. Repustate even offers a free trial so you can try the tool to see if it really suits your needs. 

Plus, you can customize the API so it identifies a specific language, and help the tppñs recognize alternative meanings of words, which gives you a lot of control over how this sentiment analysis tool scans your texts. 

Pricing: Starts at $99 a month.

7. Clarabridge 

Clarabridge has a Customer Experience Management Solution that includes a tool that creates metrics about your customers’ state of mind by analyzing their emails, chats, and surveys. It also combines lexical and grammatical approaches to carry out sentiment analysis of each sentence within a text.

Different from the tools mentioned above, Clarabridge also focuses on Speech Analytics, that is, performing sentiment analysis on audio data. This is particularly useful for companies that rely on call centers as a channel for selling or providing customer support. This online software not only analyzes the speech of the caller but also their tone and subtle cues to interpret sentiment. 

Pricing: Variable. Request a demo and get a quote.

8. Aylien 

Aylien is another online tool that unlocks the hidden value of texts by performing sentiment analysis and classifying them into Positive or Negative, or into Subjective and Objective. You don’t have to be an expert to use the tool, but you will need to know how to code to be able to use the API. And if you are looking to dive deeper into your customer’s opinions and feelings, you have the option to run aspect-based sentiment analysis.

The text analysis platform also allows you to build your own model hassle-free, and you don’t need to know a lot about machine learning or NLP to get started. 

Pricing: Starts at $149 a month.


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 tool.

Inés Roldós

Inés Roldós

Marketing @MonkeyLearn. Business Administration student.


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