Editing Authorship detection: 2010 group (section)

===Semester 2, Week 7===

====Jie Dong====

'''Progress and Status this week:'''
# Reading chapter about Hidden Markov Chain of "Statistical language learning"
# Came up with my own test text to verify my code is working properly
# Meeting with Brian discuss my current work, the current approach does not work efficiently 

'''Plan and Goals for new week:'''
# The previous algorithm only considers effect of the trigram words. Result for a test paragraph contains a lot useless information, which about 70% of trigrams only appear once. Information which is worth using in classification is just about 10%. By extracting common trigrams from several test texts, few of them left. Hence, another enhanced model, in which unigrams and bigrams are also taken into consideration, will be tested in the following week.
# SVM will also be used to test the result in coming week. Investigating how to use SVM functions in MATLAB, svmtrain and svmclassify (Bioinformatics toolbox) 
# Peer review assessment
====Leng Tan====

'''Progress and Status this week:'''
# Finish the Java coding for WRI technique in data extraction algorithm.
# Tested and verified that the code is working properly using a small test file. (text file with only few sentences)
# Have a meeting with Brian discussing on the SVM input and output.

'''Plan and Goals for new week:'''
# Figure out SVM.
# Test and try out SVM on matlab using small test files.

====Tien-en Phua====
'''Progress and Status this week:'''
# Completed coding for data extraction algorithm (DEA)
# Discuss implementation of output of data from DEA to SVM
# Analyse how other researches analyse their data

'''Plan and Goals for new week:'''
# Modification and refining of DEA code
# Continue analysis of how other researches used this DEA for authorship attribution
# Try applying data to SVM