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Text Mining in Python

https://pythonprogramming.net/text-classification-nltk-tutorial/ http://andybromberg.com/sentiment-analysis-python/ http://sentiment.christopherpotts.net/
Recent posts

Text Mining in R

install.packages( c("tm", "VCorpus", "hunspell"),  dependencies = TRUE) install.packages( c("Rweka", "RMySQL", "textmining"),  dependencies = TRUE) install.packages( c("iemisctext", "ngram"), dependencies = TRUE) if(TRUE) {   WORKDIR="D:/DeltaPartners2017/FieldOperations/TextMining/Mining/";   setwd(WORKDIR);   Sys.setlocale("LC_ALL","Arabic")   memory.limit(size = 16072)       library(tm);   library("iemisctext")   library(ngram)   library(RWeka)     data(anarchy)   a <- anarchy="" documenttermmatrix="" p="">   findFreqTerms(a, 5)     data("crude")     # Corpust --> DataFrame   ddataframeCrude<-data .frame="" content="" stringsasfactors="F)</p" text="unlist(sapply(crude,">  dataframeCrude[1,]   }       # Raw data to Corpus   serv_log &

Map with R

How it really works in R ggplot2  http://eriqande.github.io/rep-res-web/lectures/making-maps-with-R.html You need to create data in following format: long lat group order region subregion #> 1 -101.4078 29.74224 1 1 main #> 2 -101.3906 29.74224 1 2 main #> 3 -101.3620 29.65056 1 3 main #> 4 -101.3505 29.63911 1 4 main #> 5 -101.3219 29.63338 1 5 main #> 6 -101.3047 29.64484 1 6 main Some useful packages ggmap googleVis

Teradata Tutorial

Import CSV file as a table in Teradata 1. First create the table you want with the structure of the file. Create table dp_cad_analtyics.A ( Testcol1 varchar(20) , Testcol2 varchar(20) ); 2. Then modify the below query accordingly so that the number of question marks are equal to the number of columns Insert into dp_cad_analytics.A Values (?,?); 3. Select the option of "import data" from the "File" menu and execute query. It will ask for the file.

SAS tutorial

SAS Tutorial SAS E-Guide 1. Library Creation Create a program and write following command: libname tanvir '/sasdata2/SAS-USERS/taaalam/'; 2. Import File into Library File > Import Data >  Select Local File >  Output SAS data set (  use SAS server and Library name that you created in step 1 ) SAS E-Miner 1. Map Libraries in SAS Miner (Let E-miner knows the library you created in E-Guide) File > New > Library 2. Bring Files under "Data Source" Right click "Data Source" > "Create Data Soruce"

OpenMP Tutorial

Some tutorial: http://people.math.umass.edu/~johnston/PHI_WG_2014/OpenMPSlides_tamu_sc.pdf http://www3.nd.edu/~zxu2/acms60212-40212-S12/Lec-11-03.pdf Scheduling Tutorial For beginners: https://people.sc.fsu.edu/~jburkardt/c_src/schedule_openmp/schedule_openmp.html https://www.buffalo.edu/content/www/ccr/support/training-resources/tutorials/advanced-topics--e-g--mpi--gpgpu--openmp--etc--/2011-09---practical-issues-in-openmp--hpc-1-/_jcr_content/par/download/file.res/omp-II-handout-2x2.pdf Fibonacci Number generation https://gist.github.com/CarlEkerot/2601195

SVN tutorial

SVN cheat sheet: http://www.cheatography.com/davechild/cheat-sheets/subversion/ For more useful svn commands, check the following tutorial: http://openoffice.apache.org/ svn -basics.html Server : Create a  SVN repository svn co https://svn.apache.org/repos/asf/openoffice/trunk  mySVNrepository Local machine: Make a repository and connect with server Just on your local machine, run the following command: svn checkout svn +ssh:// login.cbrc.kaust. edu.sa/data/snapdragon/ soufanom/DREAM-DRUG-Challenge/ ChallengeScripts Then, all current testing scripts will be added to your local machine.  Add and commit your changes to server: In order to share with us your work, inside your own folder (e.g. ChallengeScripts/Wail ), create any folder, file or scripts and do: 1- svn add folder1 2- svn commit folder1 -m "Comments of your changes"