Combination of Python/NLTK code and D3.js for visually summarizing the output of customer comments. Counts keywords across URLs, and lets the user browse the original text interactively. Both KW counts and the sentences from which they're generated are read from the same json. This approach attempts to solve for the endless variation in text processing program requirements that arise from both changing consumer base and agile product offerings by partially unloading the interpretive work to the graph user.
-
Notifications
You must be signed in to change notification settings - Fork 0
Combination of Python/NLTK code and D3.js for visually summarizing the output of customer comments. Counts keywords across URLs, and lets the user browse the original text interactively. Both KW counts and the sentences from which they're generated are read from the same json. This approach attempts to solve for the endless variation in text pro…
hetieke/NLTK-Viz
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Combination of Python/NLTK code and D3.js for visually summarizing the output of customer comments. Counts keywords across URLs, and lets the user browse the original text interactively. Both KW counts and the sentences from which they're generated are read from the same json. This approach attempts to solve for the endless variation in text pro…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published