Have you ever thought of positive, negative, or neutral messages of your audience? Are you using a sentiment analysis tool in your social media campaigns?
Sentiment Analysis in Digital Marketing
Businesses are increasingly using digital marketing to reach out to their target audience, build their brand awareness, and increase their sales. Digital marketing helps them save time and money when marketing their products and services.
On the other hand, COVID-19 has particularly caused a sharp increase in online shopping among people across the globe. So the face-to-face interactions between customers and businesses have significantly decreased.
As a result, text-based communication means like chatbots, social media messaging, and newsletters are becoming more and more popular among businesses.
Although other means of communication like video or voice are useful, the fastest and also the cheapest way to be in touch with your audience is still text.
For example, customer services are taking advantage of text-based tools to get customers’ opinions and respond accordingly.
The thing is that sorting positive, negative, or neutral messages can greatly help your team to know the strengths and weaknesses of your brand. This is a time-sucking process and you can’t solely rely on human sources for social media monitoring.
Companies have to think of a way to analyze a huge amount of audiences’ feedback and find out their tone of voice. Of course, there are lots of applications and tools for everything out there, and sentiment analysis tools are suitable for this purpose.
This post will let you become familiar with sentiment analysis in digital marketing and also the best sentiment analysis tools for the year to come. So if you’re willing to figure out what your customers feel about your brand or product, please keep reading the article.
What are sentiment analysis tools?
A sentiment analysis tool is an application that enables you to analyze texts and figure out the tone, intent, and senses behind each message.
These tools identify the conversations’ context and help customer service employees analyze audiences’ feedback fast and accurately. Social media monitoring is one of the most important benefits of using these tools in your marketing campaigns.
This is especially useful for mid- and small-sized brands that might find it difficult to determine the emotion behind their online customers’ texts. If these tools provide you with a real-time natural language processing feature, you can easily find out the perception of your social media audience and react, according to output data.
Sentiment analysis tools let you learn more about your customer’s perception and feeling. These tools leverage an automated analysis of your texts to discover how customers really feel about your products/services. The industry-specific analysis is also another benefit that can be provided by the analytics tools available in the market.
Of course, with the rise of machine learning algorithms and data science, developing and using such tools are becoming easier day by day. There are a variety of free and paid sentiment analysis tools that perform text analytics and text mining.
Depending on your business size and requirements, you might either need free sentiment analysis tools or premium ones to analyze your social media posts, comments, messages, emails, etc. in real-time.
10 Best Sentiment Analysis Tools for 2021
Here are 10 of the best sentiment analysis tools that you need to use for social media text mining and digital natural language processing.
This is one of the top social media automation and media sentiment analysis tools covering almost all major social media platforms and blogs, news, forums, and the web.
Its sentiment analysis tool sorts the mentions of your brand into three categories: positive, negative, and neutral. So it’s a useful tool for analyzing social media data to have a better customer experience management.
With insightful data and graphs, you’ll be informed of your mentions growth over time and the change of their sentiment. You can also see the most common topics under which your brand has been mentioned, along with your brand’s sentiment.
Brandwatch is another top analytics tool that enables you to track mentions of your brand, product, and logo through millions of online channels.
It has a unique feature called “Image Insights” that lets you analyze data of any relevant images to your brand. So you will be able to know where your logo is mentioned and how well it’s performing.
With this tool, you can monitor your brand’s online mentions and understand your customer’s perception, detect changes in sentiment, and measure your brand’s visibility all the time. So you can’t ignore this sentiment analysis tool in your digital campaign if you want to get higher ROI.
This analytics tool covers all top social networks, including Facebook, Instagram, Twitter, and LinkedIn, along with news sites, blogs, and forums. It provides you with insightful data about sentiment, influencers, trends, and stories and is perfect for the sentiment analysis.
Hootsuite Insights also provides you with the ability to delegate massages of customers to different team members. Of course, the feature gives administrators the chance to manage the team messaging tasks.
HubSpot’s Service Hub
HubSpot has useful Service Hub tools that include a customer feedback feature with the ability to analyze data in responses and identify positive negative intents. Sentiment analysis is really easy when using HubSpot’s Service Hub.
It sorts customers’ messages based on their sentiment and provides insight into customers’ satisfaction.
This tool can also analyze different customers so that your team easily identify unhappy customers to follow up with them immediately. This can help you to improve your customer loyalty.
As it comes from the name, Sentiment Analyzer is a sentiment analysis tool and actually, it’s one of the easiest tools to use. You just need to visit their website, copy and paste your text into a box and click Analyze to get a sentiment score.
Sentiment Analyzer determines your text’s sentiment and intent and compares the results with a database to generate an overall score.
It is a perfect tool for mid- and small-sized companies to quickly find the sentiment behind their customers’ messages.
Social Mention is another top useful social media tool that’s free and easy to use. As a user, you can search for your keyword and get a thorough analysis of that keyword and understand how well it’s performing.
This tool gives you a summary of the overall sentiment analysis of the keyword, the sentiment of all your mentions, and the rates of positive, negative, or neutral comments the given keyword has received.
This tool provides you with a text-analysis tool to let you know why a specific customer is reacting to your business in a certain way. This is the most significant difference between this toll and other sentiment analysis features.
It’s equipped with a language processing algorithm to analyze the text. So it can easily run a sentiment analysis to identify the intent of the customer’s message.
Repustate has a deep text-analysis feature that can assess the sentiments very accurately. It can even analyze short-form words and slang such as lol, rofl, plz, and smh.
It also recognizes the sentiment behind emojis according to the context of the message. For example, if you use “;)”, the tool determines if that’s a positive or negative symbol according to the rest of your message. So it’s perfect for sentiment analysis if you receive lots of emojis in your messages. You can also customize your rules by this tool to filter a specific language for your niche.
This is another sentiment analysis tool that’s a breeze to work with. You can easily find the sentiment behind the customers’ messages when they talk about a specific product, brand, or service.
If you own an international company, you can use Rosette’s sentiment analysis tool for up to 30 different languages.
MonkeyLearn is equipped with a trained sentiment analysis algorithm that provides exceptional accuracy.
It’s actually a machine learning platform to customize your model and use sentiment analysis without writing any code.
You can train your algorithm with your business information to get higher accuracy. It can also be trained to identify the niche-specific language and even get social media data using different integrations.
Sentiment analysis tools are useful features that help you to better understand your customers’ reactions and easily respond to them. It’s recommended to use sentiment analysis along with social media polls, A/B testing, and newsletters to get a better data analysis of your customers’ intents. These tools are also great for brands that collaborate with remote workers during the COVID-19 pandemic to save their brand reputation. There are different sentiment analysis models and tools and you need to use the best depending on your business size and type.