YouTube is one of the most influential platforms when it comes to extracting market intelligence through social media listening. After all, with over 2.3 billion users worldwide, it’s easy to see why YouTube is one of the best social channels to build and engage with an audience. But with 500 hours worth of video uploaded every minute, the competition is immense. As a result, creators need to be more innovative and work harder than ever.

2. How YouTubers Can Use
Social Media Listening to
Stay on Top of Their Game

3. Overview
YouTube is one of the most influential platforms when it comes to
extracting market intelligence through social media listening. After all, with
over 2.3 billion users worldwide, it’s easy to see why YouTube is one of the
best social channels to build and engage with an audience. But with 500
hours worth of video uploaded every minute, the competition is immense.
As a result, creators need to be more innovative and work harder than ever.
Fortunately, artificial intelligence (AI) has opened new fronts for social
media creators in staying on top of their game by helping them understand
what content resonates with their audience the best. AI works for you and
helps you grow your brand presence through sentiment analysis. A social
media listening tool that is driven by sentiment analysis can give you the
right audience insights that you need.

4. What is YouTube Video Analysis?
YouTube video analysis is the process that allows you to extract the
audience sentiment from YouTube videos and their comments, descriptions,
and other information. It does this by using artificial intelligence and
machine learning (ML) algorithms to extract the main themes and
sentiments around these videos.
ML algorithms use a very interesting, coordinated method to perform
sentiment analysis on YouTube videos as can be seen below.

5. Step 1: Audio transcription. During the first step, the videos are converted
into text using speech-to-text software based on neural networks. In other
words, the video’s audio track is converted to a text transcript.
Step 2: Caption overlay. During the next step, the sentiment analysis tool
analyzes the video on a frame-by-frame basis and identifies and extracts
any other text in the video. This, for instance, includes text on captions,
subtitles, and other forms of text.
Step 3: Image recognition. Apart from identifying and analyzing text, the
social media listening tool also identifies images in the video. This includes,
for example, images in the background or other imagery displayed in the
video. In addition, the sentiment analysis API will also identify any brand
names and logos and classify them as entities.

6. Step 4: Text analysis. During the next step, the model will extract and
process the text from the video’s accompanying post and comments by
using text analytics and natural language processing (NLP). It also
recognizes common social media colloquialisms, hashtags, and emojis.
Step 5: Sentiment analysis. Once all the text is extracted from the video
and its accompanying comments, the sentiment analysis API extracts key
topics and themes from the content as well as their respective sentiment.
Here, the API will assign a sentiment score to each aspect or topic which will
show whether the sentiment is positive, negative, or neutral. In the end, the
tool will give you an aggregate sentiment score of your video.
Step 6: Visualization. When the analysis is complete, the model will display
all the sentiment scores on its dashboard. This enables you to see and
understand the results and the insights they provide.

7. How Can YouTube Creators Use Social
Media Listening?

8. Let’s now look at how YouTube creators can leverage sentiment analysis
and use social media listening to get the most value.
1. Understand And Engage With Your Audience Better
2. Stand Apart From Your Competition
3. Build Your Brand Reputation
4. Identify Opportunities for Collaboration
5. Create More Value

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