YouTube Video Analysis

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Table of Contents
From Which Sources Does A YouTube Video Analytics
Tool Gather Data?

How Does YouTube Channel Analytics Work Within
Your Profile?

How Do We Get YouTube Insights From Comments
Hashtag Analysis?

How We Do YouTube Video Analysis?
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From Which Sources Does A YouTube Video Analysis
Tool Gather Data?
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A TikTok analytics tool allows you to gain
customer insights that go beyond profile
analytics of likes and shares and it does so by
data mining comments and videos. These insights
from TikTok for social listening show you how
your customers truly feel about your brand and
products and what their opinions are. Based on
this you can implement the necessary strategies
to improve your products or customer experience
and give your customers what they want and
expect. This reflects on a better sales
conversion ratio and helps you generate more
profit.
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1. Dashboard Analytics - The YouTube dashboard
   analytics gives you metrics on key performance
   indicators like the total number of comments,
   shares, likes, dislikes, etc.
2. Comments and Hashtags - This is the source of all
   the text data comprising comments as well as
   hashtags related to your video or videos.
3. Videos - This data source consists of the YouTube
   video itself. YouTube insights from this source
   come from either one video, or all the videos in
   a particular channel, or those related to a
   hashtag or keyword.

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How Does YouTube Channel Analytics Work Within
Your Profile?
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• The YouTube Analytics API allows you to create
  your own custom dashboard from the key
  performance indicator data you want from your
  YouTube channel. These are -
• Likes count - Number of times your video was
  liked
• Dislikes count - Total number of times the
  dislike button was hit
• Shares count - How often your video was shared
• Views count - How many times your YouTube video
  was watched
• Comments count - The number of comments your
  video has gained under it. This includes reply
  threads
• View duration - The number of seconds or minutes
  your video was watched
• Subscriber count - The total number of
  subscribers your channel has
• New subscriber count - How many new subscribers
  you have gained

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How Do We Get YouTube Insights From Comments
Hashtag Analysis?
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Insights from YouTube comments and
hashtags-related data are a very crucial source
of business intelligence for branding and
marketing efforts. Here are the three steps in
which YouTube insights from comments and hashtags
is gathered. Step 1 Data Preparation (comments
hashtags) First, you need to pre-process the data
by cleaning it. You do so by removing all
redundant words, hyperlinks, and non-text data.
You can either use the YouTube API to get this
data or a comments scraper - yt-comment-scraper -
npm. All this data must be in a .csv file so the
YouTube insights platform can ingest it for
processing.
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Step 2 Processing the data for sentiment In this
step of YouTube video analysis for comments, all
the cleaned and prepped data runs through a
sentiment analysis API. It is processed for
sentiment after natural language processing tasks
have extracted relevant information about key
aspects, themes, and features occurring in the
data. Named entity recognition (NER) ensures that
any important named data like a place, brand,
important person, currency, etc. is extracted for
sentiment analysis as well. Step 3 YouTube
Insights Visualization The tool showcases all the
insights it has gained after processing the data,
in the form of charts, graphs, color codes, and
other visualizations through our sentiment
analysis dashboard. You can see how positive,
negative, or neutral the feelings are towards
your video, and by extent, your brand. You can
also see sentiment for aspects and features that
the tool extracted from your video. For example,
color, room, fit, price, convenience, and such,
are aspects.
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How We Do YouTube Video Analysis?
A machine learning platform that has video
content analysis capability can harness
intelligence from video and audio data. This lets
you get even deeper YouTube insights by analyzing
not only comments and hashtags but the videos
themselves. These could be multiple videos or any
particular one. There are six stages in which
YouTube video analysis happens.
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