EnvBert - BERT for Environment Domain
EnvBert is an easy-to-use Python library built on top of Bert models to identify essential environmental data as a part of due diligence in environmental site assessments.
| Feature | Output |
|---|---|
| EDD Prediction | Categorizes the Environment data under different classes |
| Relevancy | Classify whether it's relevant or not for the Environment domain |
| Ranking | Relevance probability is returned against the predicted classes |
Installation
Use the package manager pip to install EnvBert
pip install EnvBertUsage
# returns the predicted class along with the probability
from EnvBert.due_diligence import *
doc = """
weathered shale was encountered below the surface area with fluvial deposits.
Sediments in the coastal plain region are found above and below the bedrock
with sandstones and shales that form the basement rock"
"""
predict(doc)About
This Package is part of the Research topic "AI for Environment Due-Diligence" conducted by Afreen Aman, Deepak John Reji, Shaina Raza. If you use this work (code, model or dataset),
Please cite us and star at: AI for Environment Due-Diligence, (2022), GitHub repository, https://github.com/dreji18/environmental-due-diligence
License
MIT License
