Sentiment analysis is a machine learning tool used to analyze text (documents, online reviews, social media posts, etc.) and determine the sentiment of opinions on a scale from negative to positive. Also called “opinion mining,” this analysis is particularly helpful to monitor brand sentiment on social media.
Using AI, sentiment analysis tools are trained to classify social media text for opinion polarity, instantaneously and in real time. It’s a cost-effective way to monitor huge volumes of opinion data that humans simply would not be able to process efficiently. And, with the use of natural language understanding (NLU), computers can understand text just like a human would.
Sentiment analysis of social media can identify trending topics, collect feedback on marketing campaigns, discover new gaps in the market, and know exactly what you’re doing right and wrong.
There are a number of social media sentiment analysis tools that can help your business keep up with your customers and your competition. Read on to learn more.
8 Best Sentiment Analysis Tools
Best for: Companies that want an easy-to-use, highly customizable tool with simple integrations.
MonkeyLearn is a powerful SaaS tool that integrates simply with applications you already use, like Excel, Google Sheets, Zendesk, Zapier, and more. APIs are also available in all major programming languages, with little coding necessary.
With MonkeyLearn you can even upload Twitter data directly in the app, or an Excel file with data you’ve saved from Facebook, for example – no coding required. The interface is simple to navigate, and you can start using the pre-built sentiment analysis models right away. It’s also really easy to create your own models and tailor them to your business needs.
Check out our sentiment analysis tool to get an idea of how it works.
Best for: Companies that want to concentrate primarily on brand management.
Brandwatch focuses on social influencer and customer listening strategies to provide companies with a full picture of brand sentiment and brand strategy.
Their Consumer Research platform offers “the industry’s largest archive of consumer opinions” with data from 100 million sources and 1.3 trillion individual posts. Their opinion catalog goes all the way back to 2008, so you can use the wisdom of history to aid in brand decisions.
Brandwatch offers unique tools like “image insights,” which allows you to search your brand’s logo, find out where it’s appearing online, and provide insights into how customers view each appearance.
Best for: Companies that require full-service assistance with data prep and analysis.
RapidMiner aims to provide a complete package of sentiment analysis tools to take users from data prep, to machine learning, through model deployment.
Their Auto Model provides automatic extraction and built-in sentiment analysis for fast implementation and ease of use. And RapidMiner Studio allows you to fully customize models and integrate applications.
Their platform relies heavily on their unique visual design that’s great for quick comprehension or presentations to investors and stockholders.
Best for: Companies that want to keep an eye on their online reputation 24/7.
Brand24 is a social listening tool designed to follow and analyze brand status in real time, allowing users to get ahead of negative mentions and use the positive mentions to their advantage.
The Mentions tab filters and graphs all mentions by sentiment, the Analysis tab shows things like shares, interactions, and likes, and the Summary tab shows the overall reach of a brand, product, or campaign.
Best for: Companies that want to create analysis models acutely specialized to their business.
With MeaningCloud you can create custom models or merge your own. Their platform emphasizes “global polarity value,” a term they coined to signify the general opinion expressed in a given tweet, blog post, or review. This value is analyzed against other social mentions or other brands and products to understand a company’s “global sentiment.”
Their Social Media Analytics offers marketing targeted to your audience according to context, behavior, and attitude. And they’re “Voice of the Customer, Voter, Citizen, etc.” can help consolidate opinions and identify trends.
Best for: Companies that want to integrate all of their sentiment analysis and customer service tools.
Clarabridge Engage addresses social media monitoring with a solid eye on customer service and overall customer satisfaction. Clarabridge seeks to create direct interaction with a company’s customer base, connecting businesses with their customers, wherever they may be.
Their Unified Inbox combines email, online chats, and social media notifications into a single interface, to allow a comprehensive, real-time view of recurring topics. This allows you to see how issues from different platforms relate to each other (or don’t).
Best for: Companies that want to track data across multiple social media platforms.
Hootsuite offers easy integration across all major social networks: Twitter, Instagram, Facebook, LinkedIn, WordPress, Foursquare, and Google+, and more. You can set up unlimited social streams and organize tabs and filters for easy access and sharing with coworkers.
When you see a post in need of action or response, you can simply and easily assign it to the appropriate team member. Use filters to search, like date, demographic, and geography, to access the exact data you need from anywhere, when you actually need it.
Hootsuite Insights provides a holistic view of your data to provide the findings you need to make informed decisions.
Best for: Companies that want to use advanced APIs to train a variety of analysis models.
Repustate is interested in total data security. You can use a Repustate server in-house or the safety of your personal cloud. Their multilingual analysis offers instantaneous, worldwide evaluation that can be perfect for multinational companies who may not have employees on the ground in every market.
Repustate incorporates a number of techniques across nearly every social media platform for comprehensive results. Their APIs are highly customizable for industry-specific language and targeted data hunting.
The Take Home
It’s clear that social media monitoring using sentiment analysis tools is helpful for businesses that want to:
- Know how customers feel their brand
- Automate processes to improve the customer experience.
Sentiment analysis of social media saves time and money and, once models are properly trained, they can deliver highly accurate insights.
Request a demo to explore MonkeyLearn’s tools, and get started with social media sentiment analysis right away.
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