O slideshow foi denunciado.
Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.
Web-Seminário
Analytics em Mídia Sociais
Uma aplicação na Saúde e CRM
Web-Seminário
Social Media Analytics
Applying in Hea...
Agenda
Getting overview of the network of relationships these
people.
Having better understanding about characteristics of...
Purpose of CRM
Identify each customer, differentiate the best, know their profiles and preferences, and interact with
ever...
Sophisticated
Carlos, 35 years old
interested in:
● Cars
● Technology
● Cultural events
Modern
Marta, 28 years old
Interes...
All information about the customer, is in the company's database?
Even although, the model presents a good fitting results...
Network of Facebook users.
Paul Butler, a Facebook engineer, interested in checking how country's borders affect friendshi...
- 76 million users on Facebook
- Twitter 42 million users
- 490 million views, with 8 million unique visitors/month
Fonte ...
Understanding social network
Not only the individual characteristics are important for
understanding the behavior of peopl...
Getting data from conventional sources plus from Web.
Agenda
Getting overview of the network of relationships these
people.
Having better understanding about characteristics of...
What ?
Getting information from Social Media
Application of Text Mining and Sentiment Analysis
Health insurance
Companies
What ?
Getting information from Social Media
Application of Text Mining and Sentiment Analysis
Agency monitors the opinion of Internet users about athletes of a football team, and Adriano is
the no. 1 target.
Source: ...
Processing - Search the terms
The workflow (Getting social networks) develops search terms (in the example: Health Plan
an...
Before you download and process workflows.
If you are not familiar with KNIME, I suggest first see the following videos:
I...
Briefly, sentimental analysis is:
a process that involves Text mining methods, where the goal
is to identify which terms t...
Processing - Sentiment Analysis
This workflow develops sentiment analysis (in the example based on Unimed term).
As in the...
Getting
Tags
Node
OSM Map View
Having better understanding about characteristics of customers.Quem?
● Acquire a global view of the network
● Overview of some metrics
● View
● Clusters
Having better understanding about char...
Getting friends of each user
Relationship
network
Getting overview of the network of relationships these people.How ?
Network View
Getting overview of the network of relationships these people.How ?
Find friends in
common among
users.
Getting overview of the network of relationships these people.How ?
The hidden influence of social network.
Excerpt of talk at TED
Click for see
Getting overview of the network of relationsh...
degree of separation
Probability of a
person
becoming
overweight given
the social
contact with
obese
1 2 3
4 5
Y axis repr...
The study found that:
If a person has a social contact directly with an obese person (one degree of
separation), the risk ...
References
Book:
Valente, Thomas W. (2010-02-25). Social Networks and Health: Models, Methods, and Applications (Kindle
Lo...
Marcus Estanislao
Skype: marcus.estanislao
Tel: +55(11) 32805760
Cel: +55(11) 968376661
@EstanislaoMV
Marcus (at) estanisl...
Próximos SlideShares
Carregando em…5
×

Social Media Anlytics

Web-Seminário
Social Media Analytics Applying in Health & CRM Using KNIME

  • Seja o primeiro a comentar

  • Seja a primeira pessoa a gostar disto

Social Media Anlytics

  1. 1. Web-Seminário Analytics em Mídia Sociais Uma aplicação na Saúde e CRM Web-Seminário Social Media Analytics Applying in Health & CRM Using KNIME
  2. 2. Agenda Getting overview of the network of relationships these people. Having better understanding about characteristics of customers. Who ? What ? How ? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  3. 3. Purpose of CRM Identify each customer, differentiate the best, know their profiles and preferences, and interact with every customer in order to increase: ● Customer value ● Value for the company CRM Know the customers makes a difference
  4. 4. Sophisticated Carlos, 35 years old interested in: ● Cars ● Technology ● Cultural events Modern Marta, 28 years old Interested in: ● Beauty ● Fashion ● Tourism - Extreme Sports ● Dance Sportsman Guilherme, 19 years old Interested in ● Running ● Travel - Beach ● Sports Customers tend to be more satisfied when the company interacts with them in the way that suits them and offers products and services that really interest them. Knowledge as an asset
  5. 5. All information about the customer, is in the company's database? Even although, the model presents a good fitting results, there are several relevant information about the client that are not in the databases of the company. It is not uncommon, professionals develop their jobs based on the idea that most of the information about the customer is in the company's database.
  6. 6. Network of Facebook users. Paul Butler, a Facebook engineer, interested in checking how country's borders affect friendships around the world, developed a facebook users Relationship network. More Informations
  7. 7. - 76 million users on Facebook - Twitter 42 million users - 490 million views, with 8 million unique visitors/month Fonte Reuters Statistics Brazil
  8. 8. Understanding social network Not only the individual characteristics are important for understanding the behavior of people. Studies have found that social networks influence and are influenced by individuals. Thus understanding these networks is essential to increase the understanding of people's behavior. So new drivers should be considered: ● Content, direction and strength ● Social ties (connecting pairs of players via one or more relationship) ● Multiplexity ● Composition of the social bond See this post (in portuguese)
  9. 9. Getting data from conventional sources plus from Web.
  10. 10. Agenda Getting overview of the network of relationships these people. Having better understanding about characteristics of customers. Who ? What ? How ? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  11. 11. What ? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  12. 12. Health insurance Companies What ? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  13. 13. Agency monitors the opinion of Internet users about athletes of a football team, and Adriano is the no. 1 target. Source: UOL What ? Getting information from Social Media Application of Text Mining and Sentiment Analysis What
  14. 14. Processing - Search the terms The workflow (Getting social networks) develops search terms (in the example: Health Plan and Health Insurance), then processes Text mining techniques and shows a Tag Cloud. The search for this and any other term, and its processing may be done in real time. What ? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  15. 15. Before you download and process workflows. If you are not familiar with KNIME, I suggest first see the following videos: Introduction to KNIME Getting information from Twitter Download Workflow What? Part - I Click to view the Video O que? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  16. 16. Briefly, sentimental analysis is: a process that involves Text mining methods, where the goal is to identify which terms that were extracted from a given text represent positive or negative sentiment about a topic or a particular context. What ? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  17. 17. Processing - Sentiment Analysis This workflow develops sentiment analysis (in the example based on Unimed term). As in the previous example, the search and text mining processing and sentiment analysis can be made in real time. Download Workflow What? Part - II What ? Getting information from Social Media Application of Text Mining and Sentiment Analysis
  18. 18. Getting Tags Node OSM Map View Having better understanding about characteristics of customers.Quem?
  19. 19. ● Acquire a global view of the network ● Overview of some metrics ● View ● Clusters Having better understanding about characteristics of customers.Quem?
  20. 20. Getting friends of each user Relationship network Getting overview of the network of relationships these people.How ?
  21. 21. Network View Getting overview of the network of relationships these people.How ?
  22. 22. Find friends in common among users. Getting overview of the network of relationships these people.How ?
  23. 23. The hidden influence of social network. Excerpt of talk at TED Click for see Getting overview of the network of relationships these people.How ?
  24. 24. degree of separation Probability of a person becoming overweight given the social contact with obese 1 2 3 4 5 Y axis represents the risk of a person being overweight because of their social contact with obese. X-axis represents the degree of separation between the two people 60 50 40 30 20 10 0 Getting overview of the network of relationships these people.How ?
  25. 25. The study found that: If a person has a social contact directly with an obese person (one degree of separation), the risk of becoming obese is 50%. or If this person has contact with a person who in turn has contact with an obese (= two degrees of separation) the risk of this person becoming obese is 25%. Getting overview of the network of relationships these people.How ?
  26. 26. References Book: Valente, Thomas W. (2010-02-25). Social Networks and Health: Models, Methods, and Applications (Kindle Locations 4-5). Oxford University Press. Kindle Edition. White Papers ● Usable Customer Intelligence from Social Media Data: Network Analytics meets Text Mining Text mining and network analytics are combined here to better position negative and positive users in context with their weight as influencers or followers inside the discussion forum. Download pdf ● The KNIME Text Processing Feature: An Introduction This technical report explains the fundamentals of text processing feature in KNIME along with detailed descriptions and examples of all key node categories. Download pdf Post ● Social Network Analysis in KNIME for R users. Material KNIME ● Material ● How to get Twitter Data into KNIME
  27. 27. Marcus Estanislao Skype: marcus.estanislao Tel: +55(11) 32805760 Cel: +55(11) 968376661 @EstanislaoMV Marcus (at) estanislao.com.br Thank you very much!

×