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Introduction to Natural Language Processing

Course Summary

This course provides an introduction to the field of Natural Language Processing, including topics like Parsing, Semantics, Question Answering, and Sentiment Analysis.


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    Course Syllabus

    Week One (Introduction) (01:58:06)
    Week Two (NLP Tasks and Text Similarity) (02:27:09)
    Week Three (Syntax and Parsing, Part 1) (02:00:02)
    Week Four (Syntax and Parsing, Part 2) (01:50:29)
    Week Five (Language Modeling and Part of Speech Tagging) (02:27:50)
    Week Six (Information Extraction and Question Answering) (01:44:02)
    Week Seven (Text Summarization) (01:33:55)
    Week Eight (Collocations and Information Retrieval) (01:29:40)
    Week Nine (Sentiment Analysis and Semantics) (01:09:38)
    Week Ten (Discourse, Machine Translation, and Generation) (01:51:04)
     

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    Course Format

    The class will consist of lecture videos, which are between 5 and 20 minutes in length. These contain 1-2 integrated quiz questions per video. There will also be standalone homeworks that are not part of video lectures, optional programming assignments, and a final exam.

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    Suggested Reading

    1. Jurafsky and Martin - Speech and Language Processing. The second
    edition is currently on sale but we will be mostly using drafts of the
    third edition as it gets released by the authors.

    2. Bird et al - NLTK. Check the www.nltk.org site.


Course Fee:
Free

Attendees Rating:

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and Data & Information Management Community

1 Review

  1. A thumbs up for this course
    Reviewed by

    With no knowledge of NLP, I was able to catch hold of the topic. The programming assignment helped learn things more practical. Though some lectures are boring, but overall a thumbs up for this course.

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