Twitter is a goldmine for harvesting honest feedback and true opinions on your brand and any topic of your interest. It’s no secret that people turn to it to praise a product or complain about a company.
Analyzing and determining the overall sentiments of all the tweets that mention you is not a piece of cake, but it can give you a general understanding of what people like and dislike about your brand.
However, you don’t have to be a coder to run a Twitter sentiment analysis. Here we’ll show how to do it without any programming skills.
We’ll do it the automated way.
Table of Contents
What is Twitter Sentiment Analysis?
Twitter sentiment analysis is the automated process of analyzing tweets and classifying them into 3 categories according to their sentiment: positive tweets, negative tweets, and neutral ones.
Basically, a tweet sentiment analysis can determine the emotional tone of its creator and reveal the feelings behind the words.
Top social media analytics tools use Natural Language Processing (NLP) and Machine Learning (ML) for analyzing tweets and ensuring fast and accurate results in real-time.
Who Uses Twitter Sentiment Analysis?
A sentiment analysis of Twitter data can benefit PR specialists, social marketers, and other professionals more than you think.
First of all, brands and businesses extract actionable insights from Twitter sentiment data and use them to feed their big data analytics to reinforce their risk management, R&D projects, and measuring Twitter metrics for their social media performance reports.
Additionally, Twitter users are famous for sharing their political views via tweets with specific hashtags and taking part in online discussions on politics.
That’s why politicians and their communications teams leverage Twitter sentiment analysis to estimate the overall feeling of people towards elections, specific candidates, and even the government!
Also, sentiment analysis on Twitter data is a new practice in academic research, especially for social and consumer studies.
Researchers have comprehended well that millions of users share their honest opinions on various topics on Twitter, more frequently than in any other social medium or review platform. So, they see it as an invaluable source that can provide them with a Twitter sentiment analysis dataset for their scientific research.
If you aren’t already convinced about the importance of Twitter sentiment analysis, keep reading. We’ll give you some good reasons to dig into your Twitter data!
Why Should You Analyze Tweet Sentiments?
Twitter sentiment is one of the most valuable social media insights that you can have as a marketer or PR pro. To prove its worth, in this section we explain some perks of having Twitter sentiment analysis at hand.
1- For Brand Monitoring
Brand monitoring is not only about how many people talk about your brand, but also what they say about it.
What’s the point of having brand monitoring tools without them determining if the audience is feeling positive, negative, or neutral about your brand, products, campaigns, and content?
Twitter sentiment analysis completes your social media brand monitoring with insights into your audience’s honest emotions towards your brand and helps you in overall reputation management.
2- To Avoid Crises
Frequent sentiment analysis of tweets mentioning your brand can be life-saving to prevent a reputation crisis.
You can pick up on some negative mentions on your brand early and start putting corrective measures into practice.
For example, you can prioritize which comments you should reply to first, based on their negative sentiment. As you know, complaints must be immediately handled and resolved.
That can save you from facing a huge Twitter backlash which can be expanded to other social media or even in real life! After all, cancel culture is more present on Twitter than anywhere else.
3- To Improve Customer Experience, Products, and Services
Twitter users tend to share their true experiences. Listening to customers’ voice on this social platform is essential.
Gathering tweets from people praising or complaining about your product or service can become a useful source of future improvements.
With Twitter sentiment analysis you can understand what features of your product make people love it or what disappoints them and make them feel unsatisfied.
4- For Better Marketing Targets
Let’s focus on the positive tweets about your brand. You can keep track of them with sentiment analysis and segment your target market into smaller and more precise targets that enjoy specific qualities of your products or love only a particular one of your services.
Thus, you can create marketing campaigns and content dedicated to those smaller audiences, highlighting the things they’re fond of. Also, it can give you insights into trending topics they engage with, so you can incorporate them into your campaigns.
5- For Political Campaigns
Last but not least, a Twitter sentiment analysis tool can be powerful for politicians and their PR advisors. Twitter is the most famous and suitable social network for discussing political opinions and expressing your own views.
So, sentiment analysis of tweets on a specific topic, or a person — a candidate perhaps — can give you the overall sentiment of the people who will vote and even a hint of what’s going to happen to the elections.
Now that you are more familiar with Twitter sentiment analysis and what it can do for you, let’s dive into how you can do it.
How to Do Twitter Sentiment Analysis
Twitter has over 368 million monthly active users worldwide, as of December 2022. As you can imagine, the number of tweets they produce is massive! That’s exactly why Twitter sentiment analysis can’t be conducted manually.
We analyze below the two basic ways of performing sentiment analysis of tweets.
Manual Twitter Analysis with Coding
If you’re a programmer, you can use Twitter’s official guide to analyzing your tweets, using your Developer Account and Python 3. The guide is very comprehensive and detailed.
However, this article is focused on how to do sentiment analysis for Twitter without coding skills.
Automatic Twitter Analysis Using Brand Monitoring Tools
If you’re no coder don’t get frustrated. Most brand monitoring tools perform automatic sentiment analysis of your tweets with just a few clicks. There are even some free Twitter sentiment analysis tools that you can leverage.
Let’s see an easy-to-follow, step-by-step process of running a Twitter Sentiment Analysis with zero coding!
Perform a Twitter Sentiment Analysis in 3 Steps
Here is how to use a social media monitoring platform, like Mentionlytics, to run sentiment analysis on Twitter data.
Step #1: Add Keywords
For starters, select a social media monitoring platform and add your brand or company name for mention tracking. Remember to also track hashtags that are referencing your brand, eg. campaign hashtags.
Then, the platform is going to bring back all social media and web mentions of the given keywords.
Step #2: Select Twitter Filters
Most social media trackers offer multiple channel filters, so you can run your analyses with the data from all your social networks collectively.
However, you also have the option to select to view data and conduct analyses for a specific channel.
In this case, it’s Twitter that you’re looking for. So, you narrow down the results and work only with Twitter data.
Step #3: Get your Results
At this point, you should be able to see a sentiment analysis of tweets that mention you in your dashboard.
For example, in Mentionlytics Overview Dashboard you can have an overall sentiment analysis of your Twitter data for a specific time period at the top right box and a chart with sentiment analysis of them per day, to be more thorough.
And that’s it! With an automated tool, you can have social media sentiment analysis for Twitter or any other social network in a matter of minutes!
Although, for a complete Twitter sentiment analysis report you should go beyond the Overview Dashboard. Keep reading!
Twitter Sentiment Analysis Report
It goes without saying that a Twitter sentiment analysis report is all you need to share with your team and keep as a useful resource for strategic planning or as research material.
When using an automated tool like Mentionlytics, you can leverage its Reports Builder to generate your report and have high-quality and comprehensive data visualization.
You can start your report by setting the scene and including an overview of your Twitter data like Total Mentions, Social Reach and Engagement, and of course the Overall Sentiment Analysis.
Next, you can proceed to the juicy part with the sentiment analysis charts, generated for the specific time period you’ll choose.
Then, we highly recommend you incorporate some of the tweets that are mentioning you, especially from the most popular accounts.
Finally, you can go a bit further and add a sample of positive and negative comments.
By creating such a detailed report you’ll be able to see the bigger picture of your Twitter sentiment and understand what you need to work on to conquer this social medium.
Read more: The What, Why & How of Social Media Reports & Free Template
Want to Perform a Free Twitter Sentiment Analysis?
As more people tend to share their honest experiences on Twitter, sentiment analysis of tweets can provide you with useful insights into what users love or complain about regarding your brand.
As you understood, you don’t have to be a coder to have reliable sentiment analysis on Twitter data.
So, don’t wait anymore. Run your Twitter sentiment analysis online with Mentionlytics’ free trial now!