spacytextblob 0.1.7

A TextBlob sentiment analysis pipeline compponent for spaCy

spaCyTextBlob

A TextBlob sentiment analysis pipeline compponent for spaCy.

• Docs
• GitHub
• PyPi

Table of Contents

• Install
• Quick Start
• API
• Reference and Attribution

Install

Install spaCyTextBlob from pypi.

pip install spacytextblob

TextBlob also requires some data to be downloaded before getting started.

python -m textblob.download_corpora

spaCy requires that you download a model to get started.

python -m spacy download en_core_web_sm

Quick Start

import spacy
from spacytextblob.spacytextblob import SpacyTextBlob

nlp = spacy.load('en_core_web_sm')
spacy_text_blob = SpacyTextBlob()
nlp.add_pipe(spacy_text_blob)
text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
doc = nlp(text)
print('Polarity:', doc._.sentiment.polarity)

Polarity: -0.125

print('Sujectivity:', doc._.sentiment.subjectivity)

Sujectivity: 0.9

print('Assessments:', doc._.sentiment.assessments)

Assessments: [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]

Reference and Attribution

• TextBlob
  • https://github.com/sloria/TextBlob
  • https://textblob.readthedocs.io/en/latest/
• negspaCy (for inpiration in writing pipeline and organizing repo)
  • https://github.com/jenojp/negspacy
• spaCy custom components
  • https://spacy.io/usage/processing-pipelines#custom-components