Ways To Use Data Science To Monitor Competitors On Social Media

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Ways To Use Data Science To Monitor Competitors
On Social Media
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Outline

• Motivation
• Defining Social Media
• Popular Social Media Sites
• Why Social Media for Business?
• What is Content Marketing?
• Data Science to Monitor Social Media Presence
• Text Analytics
• Great tools to monitor competition online
• End Notes

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Motivation

• Present age is the age of social media.
• Everyone is available on and using social media
  in one way or another.
• Reasons
• To be aware of a particular topic and news
• For entertainment
• To connect with friends and people with the same
  interests
• Social media an ideal and attractive platform
  for sharing business-related content to potential
  customers.

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Definition of Social Media

• Social media is the collective of online
  communications channels dedicated to
  community-based input, interaction,
  content-sharing and collaboration. - Source
  https//whatis.techtarget.com/
• Social media is
• open source
• Online
• depends on the content-sharing and collaboration
  from the community
• We just need to have a computer with internet
  connection to use social media.

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Popular Social Media Sites

• Facebook
• Twitter
• LinkedIn
• Google
• YouTube
• Pinterest
• Instagram
• Tumblr
• Flickr
• Reddit

• Snapchat
• WhatsApp
• Quora
• Vine
• Periscope
• BizSugar
• StumbleUpon
• Delicious
• Digg
• Viber

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Why Social Media for Business?

• Service providers want to connect to their
  potential customers for various reasons
• To show their presence
• To show types of services they offer
• Goal of social media marketing is
• related to build the brand and not to make money
• Content marketing is the trend of the day and the
  focal point of every business.
• It is crucial to keep the content marketing at
  the heart of any marketing plan.

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What is Content Marketing?

• Content marketing is a strategic marketing
  approach focused on creating and distributing
  valuable, relevant, and consistent content to
  attract and retain a clearly defined audience
  and, ultimately, to drive profitable customer
  action.
• Usual practice that most businesses follow is to
  produce a consistent stream of engaging and
  quality content to drive traffic.
• Popularity and worth of the business grow as the
  popular and quality content links back to the web
  page.
• This increases the ranking of the web-page on the
  search engine.
• This also helps potential customers to find you
  on the net.
• Strategic and smart marketing can make a content
  highly viral by large sharing on the network.

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Data Science to Monitor Social Media Presence

• Large amount of data is available on the social
  networks.
• We can collect and analyze this data.
• We will know our standing by doing so.
• We can make a smart decision for improvements.
• Data a large set of images a textual format
  containing qualitative information, etc.
• Text mining/analysis and Natural Language
  Processing (NLP) techniques to transform this
  qualitative data into quantitative data.

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Text Analytics

• Text analytics is a challenging task.
• In this, we deal with unstructured text with
  imperfect grammar in some cases.
• The objective is to extract useful information
  from the text sources.
• Text analytics can focus on any of these
  sub-tasks.
• Sentiment Analysis
• Keyword Generator
• Text Classification
• Entity Extraction
• Semantic Analysis
• Emotion Detection
• Intent Analysis
• Abusive Content Classifier

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Great tools to monitor competition online-1
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Great tools to monitor competition online-2
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End Notes

• We can also check the standing of our business by
  making a Google search.
• We can always use any out of many free or paid
  tool to monitor our competition online.
• Some of the projects in the Regenesys Data
  Science Programme will use text analysis and
  Natural Language Processing techniques.
• Slides are prepared by Dr. Parmod Kumar, Senior
  Associate Faculty at the Regenesys Institute of
  Management.
• Contact email parmodk_at_regenesys.in