Getting Started

Get started with Elemeta by installing the Python library via pip

pip install elemeta

Once installed, there are a few example dataframes that can be used for testing the library.

You can find them in elemeta.dataset.dataset

from elemeta.dataset.dataset import get_avengers_endgame_tweets
# Load existing dataframe
tweets = get_avengers_endgame_tweets()
tweets.head()

After you have a dataset with the text column, you can start using the library with the following Python API:

from elemeta.nlp.runners.metafeature_extractors_runner import MetafeatureExtractorsRunner
metafeature_extractors_runner = MetafeatureExtractorsRunner()
# Running on all the data should take around a minute
tweets = metafeature_extractors_runner.run_on_dataframe(dataframe = tweets,text_column="text")
tweets.head()

Pandas DataFrames

Elemeta can enrich standard dataframe objects:

from elemeta.nlp.runners.metafeature_extractors_runner import MetafeatureExtractorsRunner
import pandas as pd

df = pd.DataFrame({"text": ["Hi I just met you, and this is crazy","What does the fox say?","I love robots"] })
metafeature_extractors_runner = MetafeatureExtractorsRunner()
df_with_metafeatures = metafeature_extractors_runner.run_on_dataframe(dataframe=df,text_column="text")
df_with_metafeatures.head()

Strings

Elemeta can enrich specific strings:

from elemeta.nlp.runners.metafeature_extractors_runner import MetafeatureExtractorsRunner

metafeature_extractors_runner = MetafeatureExtractorsRunner()
metafeature_extractors_runner.run("This is a text about how good life is :)")

To quickly try Elemeta please use our quickstart colab