10 Best Sentiment Analysis Tools – Free & Paid

Customers constantly voice their opinion on social media platforms, providing a wealth of immediate customer feedback for businesses. But there’s just too much to go through manually.

That’s why more and more businesses are turning towards easy-to-implement and powerful sentiment analysis tools, offered by machine learning platforms like MonkeyLearn.

Social listening has become a top priority, and businesses are using sentiment analysis to pay close attention to how their customers feel on Twitter, Tik Tok, Facebook, Instagram, and more. 

If a customer leaves a negative comment on social media you’ll want to respond as quickly as possible, giving you a better chance of retaining customers that may have been on the brink of churning.

Introducing Sentiment Analysis Tools

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

Using a sentiment analyzer, you can automatically detect positive and negative sentiment within your data in real time, whether you’re monitoring online reviews, social media, or live chats. 

It’s possible to build your own sentiment analysis tools using open source libraries, but you’ll need experience in coding and machine learning to build an effective and reliable sentiment analysis model. 

SaaS tools, on the other hand, enable you to use sentiment analysis tools right away, without the hassle of building your own infrastructure or investing huge amounts of time and money. 

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

1. MonkeyLearn 

MonkeyLearn is a no-code machine learning platform that offers ready-to-use sentiment analysis tools. You can also build and train your own custom tool in a few simple steps, without writing a single line of code. 

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 a striking dashboard.

Templates are equipped with pre-trained machine learning models, or you can easily create your own based on your unique needs and industry-specific texts, which yields the most accurate results.

MonkeyLearn also has multiple integrations with everyday apps such as Excel, Google Sheets, Zapier, and Zendesk, to name a few, making it easy to use with the software you already work with. Alternatively, you could use MonkeyLearn’s API available in all major programming languages.

Get a free demo and start connecting sentiment analysis tools to your favorite apps.

2. 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.

3. Social Searcher

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.

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. 

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. 

6. 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. 

7. 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. 

8. 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. 

9. 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. 

10. Social Mention

Social Mention is a free social media 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.

Final Word on Sentiment Analysis Tools

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.

Notification

Have something to say?

Text Analysis with Machine Learning

Turn tweets, emails, documents, webpages and more into actionable data. Automate
business processes and save hours of manual data processing.