FastText
ml_framework
Overview
Developed byMeta AI
LicenseMIT
Open source✓ Open Source
Use caseefficient text classification and word representation learning
Integrates with
Knowledge graph stats
Claims11
Avg confidence94%
Avg freshness100%
Last updatedUpdated yesterday
Trust distribution
100% unverified
Governance
Not assessed
FastText
product
Meta AI library for efficient text classification and representation learning
Compare with...pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Free | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Gensim | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| efficient text classification and word representation learning | ○Unverified | High | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MIT | ○Unverified | High | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Meta AI | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
| scikit-learn | ○Unverified | Moderate | Fresh | 1 |
| Jupyter Notebook | ○Unverified | Moderate | Fresh | 1 |
based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Word2Vec | ○Unverified | High | Fresh | 1 |
| Skip-gram model | ○Unverified | High | Fresh | 1 |