Difference between revisions of "Data Science"

Revision as of 18:55, 2 October 2018

Social Media Sentiment Analysis

https://www.dezyre.com/article/top-10-machine-learning-projects-for-beginners/397

https://elitedatascience.com/machine-learning-projects-for-beginners#social-media

https://en.wikipedia.org/wiki/Sentiment_analysis

https://en.wikipedia.org/wiki/Social_media_mining

Remote development

Eclipse - Connect to a remote file system

https://us.informatiweb.net/tutorials/it/6-web/148--eclipse-connect-to-a-remote-file-system.html

Mount a remote filesystem in your local machine

https://www.digitalocean.com/community/tutorials/how-to-use-sshfs-to-mount-remote-file-systems-over-ssh

https://stackoverflow.com/questions/32747819/remote-java-development-using-intellij-or-eclipse

https://serverfault.com/questions/306796/sshfs-problem-when-losing-connection

https://askubuntu.com/questions/358906/sshfs-messes-up-everything-if-i-lose-connection

https://askubuntu.com/questions/716612/sshfs-auto-reconnect

root@sinfronteras.ws: /home/adelo/1-system/3-cloud

sshfs -o reconnect,ServerAliveInterval=5,ServerAliveCountMax=3 root@sinfronteras.ws: /home/adelo/1-system/3-cloud

sshfs -o allow_other root@sinfronteras.ws: /home/adelo/1-system/3-cloud

faster way to mount a remote file system than sshfs: https://superuser.com/questions/344255/faster-way-to-mount-a-remote-file-system-than-sshfs

Anaconda

Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications (large-scale data processing, predictive analytics, scientific computing), that aims to simplify package management and deployment. Package versions are managed by the package management system conda. https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)

Installation

https://www.anaconda.com/download/#linux

https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/

https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-18-04

Jupyter Notebook

https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook

Cursos

@@ Line 1: / Line 1: @@
 ==Social Media Sentiment Analysis==
-Sentiment analysis, also known as opinion mining, opinion extraction, sentiment mining or subjectivity analysis, is the process of analyzing if a piece of online writing (social media mentions, blog posts, news sites, or any other piece) expresses positive, negative, or neutral attitude.
-===Motivation===
-Social media has almost become synonymous with «big data» due to the sheer amount of user-generated content.
-Mining this rich data can prove unprecedented ways to keep a pulse on opinions, trends, and public sentiment. Facebook, Twitter, YouTube, WeChat... etc.
-Social media data will become even more relevant for marketing, branding, and business as a whole.
-As you see, this kind of analysis is a tool that will become more and more important in the coming years.
-===Methodology===
-:'''1.''' The first part of the project will be: '''Mining Social Media data'''
-:* To start the project we first need to choose where we are going to get the data from. I have seen in many sources that to start working on it, Twitter is the classic entry point for practicing. Here you can see a tutorial about how to '''mining Twitter Data with Python''' : https://marcobonzanini.com/2015/03/02/mining-twitter-data-with-python-part-1/
-:'''2.''' Secondly, we will need to store the data.
-:'''3.''' The third part of the project will be the analysis of the data. Here is where Machine learning will be implement.
-:* In this part we first need to decide what we want to analysis. There are many examples:
-::* '''Example 1 - Business:''' companies use opinion mining tools to find out what consumers think of their product, service, brand, marketing campaigns or competitors.
-::* '''Example 2 - Politics:''' In politics, sentiment analysis is used to keep track of society’s opinions on the government, politicians, statements, policy changes, or event to predict results of the election.
-::* '''Example 3 - Public actions:''' opinion analysis is used to analyze online reactions to social and cultural phenomena, for example Pokemon Go, the premiere episode of the Game of Thrones, or Oscars.
-::* <span style="background:#00FF00">I found, for example, this topic that I think is really interesting: Using Twitter Data and Sentiment Analysis to Study Diseases Dynamics</span> Available from: https://www.researchgate.net/publication
-::* Here the link to another nice article I found «This article describes the techniques that effectively analyzed Twitter Trend Topics to predict, as a sample test case, regional voting patterns in the 2014 Brazilian presidential election» : https://www.toptal.com/data-science/social-network-data-mining-for-predictive-analysis
-::: In essence, this guy analyses Twitter data for the days prior to the election and got this map:
-[[File:Brazilian_elections_2014.png|950px|thumb|center|]]
-::* <span style="background:#D8BFD8">'''But it will be up to us (as a team) to determine what we want to analyses. Actually, we don't need to decide know what we are going to analyses. A big part of the methodology can be done without knowing what we are going to analyses. We have enough time to think about a nice one...'''</span>
 https://www.dezyre.com/article/top-10-machine-learning-projects-for-beginners/397

Difference between revisions of "Data Science"

Revision as of 18:55, 2 October 2018

Contents

Social Media Sentiment Analysis

Remote development

Eclipse - Connect to a remote file system

Mount a remote filesystem in your local machine

Anaconda

Installation

Jupyter Notebook

Cursos

eu.udacity.com

www.coursera.org

Otros

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