Automatic Summarization through Natural Language Processing

While I am adept at using R for machine learning algorithms like random forests, neural networks and time series, regression analysis, to be frank, I have only dabbled a little in text analysis. I have used the koRpus package in R in the past for tokenization. And more recently, experimented with the tm package. But if you let me know what exactly you have in mind, I could give it a shot. Why don't you send me a sample of what you wish to do and then I carry out an analysis on it? If it comes up to your expectation, we can take this forward. Looking forward to hear from you. Cheers!

- create a baseline, using existing packages - data analysis - select algorithms and design the model (supervised/unsupervised) - build first version - evaluate, error analysis - fine tune - api

I have 4+ years of experience in Machine Learning Research Scholar ( Machine learning, Data Mining, Natural Language processing) Indian Institute of Science, Bangalore Master degree holder in Computer Science with specialization in Machine Learning. Regular contestant of machine learning competition/challenge platform Kaggle and crowdanalytix & top ranked. Independently worked on many machine learning projects mainly in recommendation system, Forecasting, text mining, web mining, predictive modeling, Association mining, Natural Language Processing, Information Retrieval, Image Processing. Machine learning language and tool having expertise in Matlab, R, Python, Java, Weka, Mahout, Hadoop, Hive, Hbase