Youtube Sentiment Analysis

Introduction

Imagine you uploaded your first youtube video, next morning you wake up and see you videos has 100 thousand views, 30 thousand comments and 8000 likes. At first, you're excited about that huge amount of views but after a moment a question pops up in your mind "Did people actually like my video or it has negative feedback ? "

With more than thirty thousand comments reading each one manually is almost impossible. Some viewers maybe prasing the content while some are criticizing and some of them are asking questions.

So how do you quickly understand what your audience are really thinks of your content ?

This is where Youtube Sentiment Analysis comes in.

What is Youtube Sentiment Analysis?

Instead of spending hours reading thousands of comments AI does that work for you. It reads every single comment for you and understand the emotion behind the comment and tells you whether people are reading positively, negatively or neutrally. This helps creators what their audience truly thinks about there content. Based on this they can improve future video and content.

Youtube Sentiment Analysis is the process of using Artificial Intelligence (AI) and Natural Language Processing (NLP) to understand the emotions behind a YouTube Comments.

Here AI is the technology that enables computer to learn analyse and make decisions.Whereas NLP is a branch of AI that helps computer to understand Human Language.

Instead of simply counting likes or views it analyze what people are actually saying and classifies into three categories :

1: Positive 2: Negative

3: Neutral

Example of sentiment analysis performed on Youtube Comments:

How Does It Work ?

The overall process consist of various steps which are :

1: Collecting Comments

At this step the all comments of a particular video is fetched using a API key, an API key is a unique id that allows a user to access youtube comments .

2: Cleaning Comments

In this step all the comments are cleaned by removing special characters and emoji's.

For example: I like this video!!!!😍😍😍😍😍

The cleaned comment looks like I like this video

3: Understanding the Meaning

In this step NLP reads the comments and tries to understand what the person is trying to say.

4: Identifying the Sentiment

After understanding the comments AI predicts whether the sentiment is Positive, Negative or Neutral.

Sentiments predicted by AI:

Why is Youtube Sentiment Important ?

Nowadays every content creator is present on Youtube or Instagram. They upload videos to promote their products or services. The real work starts after uploading a video.Once people starts watching they starting sharing their opinins in comment section. Understanding how the audience reacts to the uploaded video helps creator create better content and strategies.

This is where Youtube Sentiment Analysis becomes really useful.

How does it help in Digital Marketing?

Few days back one8 launches a new pair of shoes and promote is on instgram and Youtube.Within days the videos receives n number of likes and comments .People do have different opinions about the brand.

Reading every comment manually would take a lot of time and efforts .Instead Youtube Sentiment Analysis analyzes all the comments and gives a clear overview of people's view for the brand .

By understanding these insights brands can make better decisions and create products that connects better with audience.

Conclusion

In today's digital world as more businesses rely on AI,for not only for views and likes but for data driven decisions. This is where Youtube Sentiment Analysis and Data Analytics plays an important role for understanding customer feedback and making better decisions.

Whether you are a content creator or a busines owner understading your audeince needs will always be a key to create a better product and provide better services for the customers .