Facebook Sentiment Analysis with Video AI

When you market your products or services on Facebook, you must understand how to do Facebook sentiment analysis on videos, which, in combination with social media listening can help you understand your customers’ opinions and build a cohesive marketing strategy around an audience persona to promote your brand.

Why sentiment analysis on videos? It’s simple, it allows you to see whether customer feedback on your products or services is positive, negative, or neutral. It achieves this by processing and analyzing unstructured text data to extract, classify, and understand the feelings and opinions of your customers. In other words, it’s the voice of your customers that tells you how they feel about your products or services.

But where do you start with Facebook data sentiment analysis on videos? In this post, we’ll look at this question in more detail.

How Can You Do Facebook Sentiment Analysis?

Let’s understand how one can do Facebook sentiment analysis on videos using the Repustate platform. Repustate’s powerful machine learning (ML) video content analysis tool uses natural language processing (NLP) to perform Facebook data sentiment analysis on videos and extract valuable insights from them. With search inside video capability and semantic clustering, you get more out of the model than just simple text or emotion analysis.

To do this, our social video analytics solution uses a six-step process to extract these insights:

Step 1 – Audio transcription

During the first step, the Facebook Data Mining Process for Video converts audio and video files into text through the use of neural networks.

Step 2 – Caption overlay

During the next step, the Facebook video is broken up into frame-by-frame image formats. Any text that appears in these frames is then recognized and extracted by the tool. You can almost think of this as a search inside a video.

Step 3 – Image recognition

Through the use of video analysis AI, the tool can detect and extract any images in the background like brand names and logos and classify them as entities.

Step 4 – Text from posts and comments

During the next step, Repustate’s text analytics API extracts any text from posts and comments. Through this process of text, image, and user profile text mining, all text accompanying the Facebook video is extracted. The text analytics pipeline is also able to recognize hashtags, emojis, and other common social media colloquialisms.

Step 5 – Sentiment and semantic analysis

Once the relevant text is extracted, both sentiment analysis and semantic analysis are used to extract key topics and themes, as well as their relative sentiment from the text.

Step 6 – Visualization

Once the Facebook data sentiment analysis is complete, the tool provides all the sentiment scores on a sentiment analysis dashboard so that you can easily understand what data has been analyzed and what the results are.

Importance of Video Content on Facebook

Before looking at sentiment analysis on Facebook videos in more detail, it’s crucial to understand why video content is so important and popular on Facebook. At its core, the reason fo`r this is that traditional forms of marketing are no longer as effective as they were years ago.

Nowadays, marketers realize that they can improve their marketing efforts when they incorporate more video and image-based content into their strategies. This is due to the fact that videos:

• Attract attention

In a society focused on instant gratification, videos can make it easier for marketers to capture their audience’s attention. In fact, videos have been proven to hold attention five times longer than photos.

• Boost conversion

Because users have the opportunity to see how a product works in a video, they are more likely to buy it. For this reason, 55% of consumers watch a video before buying a product.

• Attracts customers

Videos are better than other forms of marketing when it comes to attracting new customers.

• Are becoming more popular

Consumers are increasingly drawn to videos and as a result, more marketers are using them to satisfy consumer demand.

• Build trust

Based on storytelling, videos can engage consumers better and evoke different emotions compared to text or photos. As a result, they’re an effective means to build trust and relationships

• Ensure higher rankings in search results

Because videos encourage users to spend more time on a specific website, search engines rank sites that have rich video content higher in search results.

• Explain things better

When companies show consumers how a product works through video content, they understand it better and are more likely to buy it.

• Encourage sharing

Consumers are more likely to share video content with other users on social media platforms. As a result, video content allows companies to increase their reach.

How Does Facebook Sentiment Analysis Help Businesses?

We’ve now looked at the how, so the next step is to look at the why. In other words, how can Facebook data sentiment analysis help your business? Here, it’s important to keep in mind that there are many reasons for this, but some of the most common include:

1. Understanding your audience.

First and foremost, through sentiment analysis and social media listening, you’ll be able to understand your audience. And by understanding your audience, you’ll know what they like and what they don’t. As a result, you’ll be able to cater to their specific needs and align your marketing efforts with their expectations. Ultimately, you’ll then position yourself to serve your audience better and generate more revenue.

2. Brand reputation monitoring.

You’ll be able to monitor your brand’s reputation. So, you’ll be able to see what your audience thinks about your brand, products, or services. In turn, this gives you the opportunity to improve in those areas where you are lacking.

3. Preventing public relations crises

Through sentiment analysis, you’ll be able to identify issues that customers have with your products or services earlier. And when you’re able to identify these issues earlier, you’ll also be able to sort them out faster. As a result, you’ll avoid any public relations crises.

4. Improving customer service

As mentioned earlier, sentiment analysis gives your customers a voice that can tell you if there are any issues with your products or services. So, it can alert your customer support teams to any problems they should be aware of, and they can then implement the necessary strategies and responses to sort these problems out.

5. Insights from customer feedback

Some of the most valuable insights you’ll get are those from your customers. So, whether it relates to your marketing, products, or services, you can use these insights to improve your offering to your customers.

6. Competitive advantage

Sentiment analysis can give you great insights into where you stand in your niche. So, you can see what your competitors do, what works, and what doesn’t, and you can position yourself to stand out from the crowd. This ultimately gives you a competitive advantage.

Learn more about social media sentiment analysis.

The Bottom Line

To truly understand what your customers want and how they feel about your brand, you must understand them. When you do, you’ll be able to market your products and services better, sell more, and generate more revenue.

For this reason, Facebook data sentiment analysis is a must in your business. It will give you valuable insights into your customers’ opinions and give them a voice that will enable you to not only improve your products or services but also your marketing and your customer support.

Repustate’s platform performs Facebook data sentiment analysis including video content analysis with precision and thus helps you improve your business processes.