NLP Analysis of Public Reactions to Jaguar’s 2024 Logo Redesign

An end-to-end NLP project analyzing Reddit discussions on Jaguar's 2024 logo update.
Applied sentiment analysis (VADER vs TextBlob), topic modeling (LDA), keyword extraction, and visualization to uncover public opinion trends.

Dive Into the Code

Data Collection

Reddit API (PRAW) scraping

Text Preprocessing

Tokenization, stopword removal, lemmatization

Sentiment Analysis

VADER (social media oriented) vs TextBlob (general purpose)

Topic Modeling

LDA (Latent Dirichlet Allocation)

Visualization

Word Cloud, Sentiment Bar Charts

Tools Used

Python, Pandas, Matplotlib, NLTK, Scikit-learn

The emotional response trend following the release of Jaguar's new logo on November 19, 2024

The launch of Jaguar’s new logo sparked intense discussion.

This chart shows a sharp spike in both positive and negative sentiments immediately after the announcement, peaking around 1 PM.

Overall, reactions gradually shifted towards a more neutral tone throughout the day.

(Data Source: Reddit comments collected via PRAW API.)

Sentiment Analysis Comparison: VADER vs TextBlob

Both VADER and TextBlob analyzers were applied to validate sentiment detection.

VADER detected a higher number of negative comments, while TextBlob categorized a larger share of comments as neutral, reflecting its conservative bias towards polarity.

(Data Source: Reddit comments collected via PRAW API.)

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