How To Do Sentiment Analysis With Python NLTK
Intro - How To Do Sentiment Analysis With Python NLTK
with Samuel_M|4 years experience
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Intro - How To Do Sentiment Analysis With Python NLTK
Nov 13, 2019 | 3:03 AM2:41
Session 1.1: Setting Up NLTK
Nov 13, 2019 | 6:02 PM11:42
Session 1.2: Installing NLTK Corpus
Nov 13, 2019 | 6:02 PM2:39
Session 1.3: Word Tokenizer and Sentence Tokenizer
Nov 13, 2019 | 6:02 PM22:16
Session 2.1: Stemming and Tokenization
Nov 13, 2019 | 6:02 PM31:36
Session 2.2: Named Entities
Nov 13, 2019 | 6:02 PM11:9
Session 2.3: Lemmatizing and Sysnet
Nov 13, 2019 | 6:02 PM24:2
Session 3.1: Movie Reviews
Nov 13, 2019 | 6:03 PM44:23
Session 3.2: Pickle
Nov 13, 2019 | 6:03 PM5:47
Session 3.3: Tweets Classification
Nov 13, 2019 | 6:03 PM36:12
How To Do Sentiment Analysis With Python NLTK
- English
- Programming
Data-Science- Project length: 3h 12m
In this project, we'll discuss what NLTK is used for and how to set it up. By the end of the project, you'll know how to use this python library and we'll finish with an example use case scenario of sentiment analysis with it.
Overview
Introduction
In this project, you'll learn how to use Python's NLTK language processing toolkit and through it not only how it's used by professionals on a day to day basis with clear and concise explanations of an example problem they'd encounter and how they'd use this tool to use it. I'll also cover the problem-solving step by step solution mentioning other related tools which should be used in conjunction if your situation requires it, leaving you with a clear idea of where to go on next if you want to go in deeper in the field this is most applicable in, Data Science.
What are the requirements?
- Knowledge of Python
What is the target audience?
- A Python Developer interested in Data Science
- A Python Developer wanting to learn how to analyse words
Project Outline
The project outline explains what you will learn in each session