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How to run nltk Videos
- 1. Lexical Graphs with Natural Language Processing using NLTK
- 2. ODSC West 2015 | Juliet Hougland - "PySpark Best Practices"
- 3. Natural Language Processing in Python
- 4. How to run a simple naive bayes classification model in rapidminer
- 5. Speaking Python Chat Bot
- 6. Ronert Obst - Massively Parallel Processing with Procedural Python
- 7. 9 - 1 - Introduction to Information Extraction- Stanford NLP-Dan Jurafsky & Chris Manning
Lexical Graphs with Natural Language Processing using NLTK
Brian Ray //pyvideo.org/video/2554/lexical-graphs-with-natural-language-processing-u //www.chipy.org/ Brian will talk about his experiences using ...
ODSC West 2015 | Juliet Hougland - "PySpark Best Practices"
Abstract: PySpark (component of Spark allows users to write their code Python) has grabbed the attention of Python programmers who analyze and process data ...
Natural Language Processing in Python
Shankar Ambady of Session M will give a tutorial on the Python NLTK (Natural Language Tool Kit). Shankar had previously presented a comprehensive ...
User Comments
cj avila
commented
on 04 Jul 2015
Hi, can I ask a question? What makes python the best language to use in
developing NLP? Is it possible also to make a simulation using this
language?
cj avila
commented
on 05 Jul 2015
simulation.. would be like creating a computer aided Instruction in NLP using python
shankar ambady
commented
on 04 Jul 2015
+cj avila There are many languages that are suitable for nlp tasks but what makes python a good one is the ability to rapidly prototype and the access to libraries that make it easy to implement some of the more advanced algorithms. Python is also quite popular in the scientific world and so it invites many awesome contributions from the community! C-extensions allow one to write optimized c-routines where necessary and allow for interoperability with existing scientific c libraries. As far as your question " Is it possible also to make a simulation using this language?" - I'm not quite sure what you mean so you'll have to clarify.
How to run a simple naive bayes classification model in rapidminer
In this video you can see how easy it is to run a Naive Bayes analysis. We use the classic golf dataset example to illustrate. Read more at ...
Speaking Python Chat Bot
This is a little demo of the chat bot I am currently writing in Python. It runs off a Raspberry Pi which is installed in the speaker box. It's early days yet but even now ...
User Comments
stgcal10
commented
on 17 Mar 2015
what speech program are you using espeak?
Jez Whitworth
commented
on 03 Apr 2015
I am using espeak, yes though I think there are some better ones out there but I haven't played around with them yet.
Ronert Obst - Massively Parallel Processing with Procedural Python
View slides for this presentation here: //www.slideshare.net/PyData/pydata-presentation-ronertobst PyData Berlin 2014 The Python data ecosystem has ...
9 - 1 - Introduction to Information Extraction- Stanford NLP-Dan Jurafsky & Chris Manning
If you are interest on more free online course info, welcome to: //opencourseonline.com/ Professor Dan Jurafsky & Chris Manning are offering a free online ...
User Comments
Vic N
commented
on 07 May 2015
How to solve: i have a number of texts, each consist some course, for
example "... python is best for programming...i want to learn it". I need
to categorize all text to course topics, so this one categorized to
Programming.
The simple but very time consuming approach is to get from some corpora all
possible educational topics, and then find topic words in texts. The hard
part is that there are a lot of courses, that do not consist any word
devoted to set category. So even the corpora approach is not always
possible. Also NLTK do not provide such bases of topics for NER.
ji98il
commented
on 17 Jun 2013
Hi, You did this video to explain what Stanford can do. Do you have any
recommendations (videos, tutorial links) that how to use Stanford to
perform Named Entity Recognition? I did downloded the NER package and
sources from stanford website but I'm wondering how can I put it into
Eclipse and run the codes to see the demo results
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