Sentiment analysis tools (a.k.a opinion mining tools) are used to analyze the sentiment in a particular piece of writing. Such tools can be used on social media too. That’s why they are termed as Social Media Sentiment Analysis Tools so often.
What is Social Sentiment Analysis and why is it important? Companies are increasingly collecting data from social media, forums and blogs. The volume of data has increased so much that a new term, Social Media Sentiment Analysis, was created. It refers to the process of collecting and analyzing opinions expressed in social media. Of course, it goes without saying that having a software which can process millions of reviews on social networks will make your life much easier. If you’re interested in how these tools work, what they look like, as well as some interesting facts about them, read on!
Sentiment Analysis tools are used by businesses and organizations to gauge the sentiment of their customers’ comments, product reviews, social media posts and more. Sentiment Analysis tools help gain a better understanding of their customers’ level of satisfaction or dissatisfaction with a company’s products or services.
If you’re looking to find out how people on Twitter, Facebook, or any other social network feel about your company and its products or services, you should consider checking out some of the best social media sentiment analysis tools into.
What Is a Sentiment Analysis Tool?
A sentiment analysis tool is software that analyzes text conversations and evaluates the tone, intent, and emotion behind each message. By digging deeper into these elements, the tool uncovers more context from your conversations and helps your customer service team accurately analyze feedback. This is particularly useful for brands that actively engage with their customers on social media, live chat, and email where it can be difficult to determine the sentiment behind a message.
Brand Sentiment Analysis
Sentiment analysis helps brands learn more about customer perception using qualitative feedback. By leveraging an automated system to analyze text-based conversations, businesses can discover how customers genuinely feel about their products, services, marketing campaigns, and more.
Benefits of Adopting a Sentiment Analysis Tool
If your company provides an omni-channel experience, a sentiment analysis tool can save your team valuable time organizing and reporting customer feedback.
Rather than going through each tweet and comment one-by-one, a sentiment analysis tool processes your feedback and automatically interprets whether it’s positive, negative, or neutral. Then, it compounds your data and displays it in charts or graphs that clearly outline trends in your customer feedback. This not only gives your team accurate information to work with, but frees up time for your employees to work on other tasks in their day-to-day workflow.
Now that you know what a sentiment analysis tool is and how it can benefit your business, let’s take a look at some of the best tools available for 2022.
Hootsuite is a social media management platform that focuses on scheduling and team management. However, Hootsuite Insights has some relevant features: it analyzes social media platforms to reveal your brand’s sentiment and the trends around your brand. You can later filter this information by location, language, and gender.
Talkwalker is another great tool for sentiment analysis. The tool claims to have the best available sentiment analysis technology, which enables it to detect sarcasm and other unobvious forms of negative mentions. It also monitors industry and customer satisfaction trends, the latter enabling you to more easily discover which features of your products are liked (and which are not).
Awario is a social media monitoring and analysis tool. It covers all major social media networks, news, blogs, forums, and the web. The in-built sentiment analysis feature – available in all plans – sorts brand mentions into positive, negative, and neutral. You get a graph that shows you how your mentions have grown over time and how their overall sentiment has changed. In addition to the brand’s sentiment, you can see the topics that get mentioned most often when people speak about your company.
HubSpot’s Service Hub tools include a customer feedback tool that can break down qualitative survey responses and evaluate them for positive or negative intent. It uses NPS® surveys to clarify whether a customer’s review was good or bad and organizes them based on their sentiment. Users analyze the results by looking at one comprehensive dashboard that includes charts and graphs which provide an overview of customer satisfaction.
HubSpot’s Service Hub suite can also analyze customers on an individual basis. You can integrate your CRM with Service Hub and review survey responses from specific contacts in your database. That way, your team can quickly identify customers who are unhappy and follow up with them after they’ve had a negative experience with your brand. Remember, 58% of customers will stop doing business with you if your company falls short of their expectations. this gives your team an opportunity to intercept unhappy customers and prevent potential churn.
MonkeyLearn’s products easily integrate with tools like Zendesk and Google Sheets. If you know how to code, you’ll be able to use MonkeyLearn API to connect sentiment analysis tools to your stack.
You might also want to build a customized sentiment analysis model without writing a single line of code. The advantage of building your own sentiment analysis tool is that it will be more accurate.
By training it using your own business data and criteria, you can teach it to recognize industry-specific language and define each level of sentiment in relation to your business.
Don’t worry, building a sentiment analysis model is super easy with MonkeyLearn’s point-and-click interface: follow this tutorial on how to build a custom classifier.
Once you’ve analyzed your data for sentiment, connect your results to MonkeyLearn Studio to see your sentiment analysis results in finite detail.
Pricing: Explore pricing.
Lexalytics’s Semantria APIlet’s you set up sentiment analysis tools in the cloud. If you’re looking for an on-premise solution, tailored towards data scientists and architects who want full access to the technology or who need on-premise deployment for security reasons, look no further than Lexalytics Salience.
Whichever infrastructure you choose, you’ll have access to the platform’s powerful NLP sentiment analysis system, which can be tweaked to your specific needs, though you’ll need a data science background to understand how the Lexalytics API works.
Once you’ve gauged the feelings and emotions behind customer feedback, you’ll be able to visualize (and store) your results in Semantria’s comprehensive business intelligence tool.
While Lexalytics provides both text analysis and data visualization, you will need to be tech-savvy to use it.
Brandwatch’s was named as a leader in the 2020 Forrester Wave for social listening platforms, and the accuracy and precision of the platform’s sentiment analysis capabilities were considered above par when compared to other vendors.
Businesses use Brandwatch to monitor mentions online and understand the voice of customer, detect fluctuations in sentiment, and measure brand visibility in real time, 24/7. The self-claimed ‘consumer intelligence’ platform also provides machine learning custom classifiers, plus automatic entity disambiguation to identify topics and themes within data that has already been analyzed by sentiment.
As an added bonus, Brandwatch includes a unique “image insights” feature that lets you go beyond text data, so you can track how your logos are shared across millions of online sources and where they’re appearing.
Pricing: Book a meeting to find out more.
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.
Limitations of sentiment analysis tools
Even though machine learning is an increasingly powerful mechanism, the assessment of tone in written language is not yet 100% accurate.
People write sarcastically, they use slang, they make spelling mistakes and use ambiguous wording. All of these factors make it impossible for tools to always get it right, but the advantage of larger data sets is that even though some of the samples will be wrongly assessed, the overall results – the graphs and charts the company gets – will likely be indicative.
Sentiment analysis is one of the most popular topics on the Internet. People want to know what others think about their products and brand. In order to do this, they use special tools called sentiment analysis tools.
Sentiment analysis is one of the most popular and widely used approaches to gather insights and data on social media. This approach is not limited to just web conversations, but covers forums, posts, comments, reviews across all social media platforms. Sentiment analysis algorithms have been developed by researchers and have now become a very useful tool for businesses wanting to gain deeper insight into the social conversation around them. While these tools can be very useful, they are still in the nascent stages of development and growing rapidly.