Improving Natural Language Processing with Machine Learning

I demonstrate a simple natural language processing exercise, starting to solve a basic NLP problem with rules. The demo uses Java, rather than a specific NLP tool like IBM Watson Explorer, so that it is easier for you to try out a similar exercise Discover A Lot More

Text By the Bay 2015: Samiur Rahman, Practical NLP Applications of Deep Learning

{{unknown}}Deep Learning is the hot “new” technique in the world of Machine Learning, but most of the published benefits of Deep Learning has been tied to audio and visual data. There are, however, significant benefits users can draw from Deep Learning, particularly Discover A Lot More

Unlocking Medical Records with Natural Language Processing

Presented By: Sarah Ramsay, Director, CIT Informatics, Fred Hutch; Emily Silgard, NLP Research Engineer, Fred Hutch; Adam Rauch, LabKey Currently, the majority (65-80%) of the data elements needed for clinical and translational research in cancer Discover A Lot More

Final Year Projects | Semantic Web service discovery using natural language processing techniques

Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * Discover A Lot More

Final Year Projects | Semantic Web Service Discovery Using Natural Language Processing Techniques

Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * Discover A Lot More

ML could solve NLP challenges – Ontology Management – Erik Huddleston

Erik Huddleston – CEO of TrendKite H2O World 2015, Day 3 Contribute to H2O open source machine learning software https://github.com/h2oai Check out more slides on open source machine learning software at: http://www.slideshare.net/0xdata Discover A Lot More

Rails Conf 2013 Natural Language Processing with Ruby by Brandon Black

{{unknown}}The field of natural language processing and the many topics encompassed within it (summarization, full-text search, sentiment analysis, content categorization, etc.) is one of fastest growing, most complex and most highly demanded knowledge sets Discover A Lot More

Natural Language Processing in Python (with a twist of machine learning, perhaps) Tomasz Kuczmarski

{{unknown}}Talk during the I STX Next Tech Summit 21st of March, Poznan, Poland STX Next is one of the largest Python, JS & Mobile software houses in Europe. We’re using Agile – Scrum & Kanban. http://www.stxnext.com Discover A Lot More

Twitter Sentiment Analysis – Natural Language Processing With Python and NLTK p.20

{{unknown}}Finally, the moment we’ve all been waiting for and building up to. A live test! We’ve decided to employ this classifier to the live Twitter stream, using Twitter’s API. We’ve already covered how to do live Twitter API streaming, if you missed Discover A Lot More

Compiler Design Introduction and Overview NATURAL LANGUAGE Processing System

Compiler Design, video, lecture, lectures, tutorial, iit, hindi, Introduction & Overview, NATURAL LANGUAGE Processing System, Large programs are often compiled in pieces, so the relocatable machine code may have to be linked together with other relocatable Discover A Lot More

Named Entity Recognition – Natural Language Processing With Python and NLTK p.7

{{unknown}}Named entity recognition is useful to quickly find out what the subjects of discussion are. NLTK comes packed full of options for us. We can find just about any named entity, or we can look for specific ones. NLTK can either recognize a general Discover A Lot More

NLTK Corpora – Natural Language Processing With Python and NLTK p.9

{{unknown}}Remember from the beginning, we talked about this term, “corpora.” Again, corpora is just a body of texts. Generally, corpora are grouped by some sort of defining characteristic. NLTK is a massive toolkit for you. part of what they give you is Discover A Lot More

Analyzing the Entire Program: Applying Natural Language Processing to Software Engineering

A powerful, but limited, way to view software is as source code alone. Mathematical techniques, such as abstract interpretation and model checking, can indicate whether the program satisfies a formal specification. But, where does the formal specification Discover A Lot More