PPT-Natural Language Toolkit(NLTK)

April Corbet Overview What is NLTK NLTK Basic Functionalities Part of Speech Tagging Chunking and Trees Example Calculating WordNet Synset Similarity Other Functionalities What is NLTK. Regular Expressions. Accessing additional files. Python has tools for accessing files from the local directories and also for obtaining files from the web.. Python module for web access. urllib2. Note – this is for Python 2.x, not Python 3. Comprehension Toolkit. Figurative language 1. Comprehension Toolkit. Figurative language 1. Comprehension. means . understanding. . . The answers to some questions are easy to find, while the answers to others are more difficult to work out. Useful Tools. Presenter: Vicente Ordonez. Text Analysis. Tokenization, Tagging, Parsing, Word Embeddings. Python NLTK. “My cat likes eating bananas”. http://www.nltk.org/. Python NLTK: Tokenization. Regular Expressions. Accessing additional files. Python has tools for accessing files from the local directories and also for obtaining files from the web. .. We have seen the tools for reading any file from a local directory. metaphor. Comprehension Toolkit. Figurative language 2. Comprehension Toolkit. Figurative language 2. Comprehension. means . understanding. . . The answers to some questions are easy to find, while the answers to others are more difficult to work out. Source: Natural Language Processing with Python --- Analyzing Text with the Natural Language Toolkit. Status. We have had three weeks of Object-Oriented Programming in Python. Simple I/O, File I/O. Lists, Strings, . Overview of Linguistic Tools. Dictionaries. Linguistic Inquiry and Word Count (. LIWC. ). Whissell’s Dictionary of Affective Language. WordNet. Parts of Speech Taggers (POS). Brown Corpus. Stanford POS. Class Logistics. Quiz. Where is this quote from?. Dave Bowman. : Open the pod bay doors, HAL.. HAL. : I’m sorry Dave. I’m afraid I can’t do that.. Quiz Answer. “2001: A Space Odyssey” . 1968 film by Stanley Kubrick . : . A Language and Toolkit for Simplifying the. Creation of Structured Editors for Code and Data. Andrew J. . Ko. & Brad A. Myers. Carnegie Mellon University. INTRODUCTION. Citrus - . C. reating . Ellipsis. Grammar Toolkit. Ellipsis. An ellipsis consists of three full-stops. . It . has two roles.. It shows . that words have been deleted from a direct quotation.. Salamanders. , . discussed in detail in Chapter 12 of this book. Neural Networks from Scratch. Presented . By. Wasi Uddin . Ahmad. 3. rd. November, 2016. Written By. Denny . Britz. http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/. "Lane, Mary E. . Source: Natural Language Processing with Python --- Analyzing Text with the Natural Language Toolkit. Status. We have . progressed with . Object. -Oriented Programming in Python. Simple I/O, File I/O. Presenter: Vicente Ordonez. Text Analysis. Tokenization, Tagging, Parsing, Word Embeddings. Python NLTK. “My cat likes eating bananas”. http://www.nltk.org/. Python NLTK: Tokenization. http://www.nltk.org/. Lecture 25. Today's Topics. Conditional Frequency Distributions (. nltk.ConditionalFreqDist. ). very useful. worth explaining what it is again, and give a different example. Explain the code that implements the random text generation idea.