Generic python library to perform sentiment analysis on any dataset, using different models
Project description
A generic package to help developers perform analysis on their dataset, powered by Nearest Neighbors, Linear SVM, RBF SVM, Decision Tree,Random Forest, Neural Net and Naive-Bayes models.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size sentimentanalyser-2.5-py3-none-any.whl (6.4 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
Close
Hashes for sentimentanalyser-2.5-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c501b6513ffb38de53fc6cde5ba316ee879ab15f5267fa182fd5705e169ae43f |
|
| MD5 | a6cf000b5759d05f8781a00b58ab724f |
|
| BLAKE2-256 | bf50127ba480bee95f64a9337e3f16be484de0d40462d6805c409056f03a5dde |
