Click here to Skip to main content
15,668,517 members
Articles / Artificial Intelligence


1 bookmarked

Pros and Cons of NLTK Sentiment Analysis with VADER

Rate me:
Please Sign up or sign in to vote.
4.73/5 (4 votes)
29 May 2020CPOL3 min read
This article is the fourth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this and additional articles, we’re going to try and improve upon our approach to analyzing the sentiment of our communities.
We’ll recap how NLTK and Python can be used to quickly get a sentiment analysis of posts from Reddit using VADER, and the trade-offs of this approach.


Daily Counts


Weekly Counts

This article is part of the series 'Sentiment Analysis View All


This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By
Technical Lead
United States United States
Jayson manages Developer Relations for Dolby Laboratories, helping developers deliver spectacular experiences with media.

Jayson likes learning and teaching about new technologies with a wide range applications and industries. He's built solutions with companies including DreamWorks Animation (Kung Fu Panda, How to Train Your Dragon, etc.), General Electric (Predix Industrial IoT), The MathWorks (MATLAB), Rackspace (Cloud), and HERE Technologies (Maps, Automotive).

Comments and Discussions