P

Purchase Intention English Roberta Large

Developed by j-hartmann
This model is based on the RoBERTa architecture and is used to analyze purchase intentions expressed in English texts, performing binary classification (with/without purchase intention).
Downloads 31
Release Time : 3/2/2022

Model Overview

This is a sentiment analysis model specifically designed to identify purchase intentions in social media texts. Fine-tuned on 2000 manually annotated data points, it is suitable for marketing research and consumer behavior analysis.

Model Features

High Accuracy
Achieves 95% accuracy on the hold-out test set (balanced random baseline is 50%).
Social Media Optimization
Specifically trained and optimized for social media texts such as tweets.
Professional Field Application
Particularly suitable for marketing research and consumer behavior analysis scenarios.

Model Capabilities

English Text Classification
Purchase Intention Detection
Sentiment Analysis

Use Cases

Marketing
Consumer Purchase Intention Monitoring
Analyze spontaneous user comments about products on social media to identify potential purchase intentions.
Helps marketing teams identify high-intent customers.
Advertising Effectiveness Evaluation
Assess changes in purchase willingness in user feedback after marketing campaigns.
Quantifies the impact of marketing campaigns on consumer purchase intentions.
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