Natural Language Processing with Python for The Office

This following scripts explore different aspects of Natural Language Processing using the transcription of the The Office series. It was created with educational purposes. I have used this dataset The Office (US) - Complete Dialogue/Transcript.

Features

1. Character Wordcloud generator using the wordcloud library.
2. Get a character n-grams from his/her text lines.
3. Analyse a character sentiments expressed in The Office using the VADER (Valence Aware Dictionary and sEntiment Reasoner) library. We quantify sentiment polarity (positive/negative) on a scale from -1 to 1.
4. Analyse a character sentiments expressed in The Office using the TextBlob library. We quantify sentiment polarity (positive/negative) on a scale from -1 to 1 and subjectivity (objective/subjective) on a scale from 0 to 1.
5. Research affinity between characters from the the sentiment analysis of their lines during the scene where they appear.

Technologies

• Python 3.8.5

Example of use

Wordcloud

python nubePalabras.py Pam 

n-gram

python ngram_TheOffice.py Jim

Sentiment analysis using TextBlob

python SentimentAnalysis_TextBlob.py 

Sentiment analysis using VADER

python SentimentAnalysis_Vader.py 

Affinity analysis

Representing polarity and subjectivity obteined from Pam and Jim's lines in scenes where both appear.

python afinidadPersonajes.py