alexliqu09/Sentiment-Analysis-on-Amazon-Reviews
In this project, we compared Spanish BERT and Multilingual BERT in the Sentiment Analysis task.
This project helps businesses understand customer opinions from Spanish Amazon product reviews. It takes Spanish review text as input and determines whether the sentiment is positive, negative, or neutral. Product managers, marketing analysts, and customer experience teams can use this to gauge customer satisfaction.
No commits in the last 6 months.
Use this if you need to quickly assess the sentiment of a large volume of customer reviews written in Spanish to understand product reception.
Not ideal if your customer feedback is in languages other than Spanish or if you need to analyze highly nuanced or complex sentiment that goes beyond simple positive/negative/neutral classifications.
Stars
7
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 01, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/alexliqu09/Sentiment-Analysis-on-Amazon-Reviews"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pysentimiento/pysentimiento
A Python multilingual toolkit for Sentiment Analysis and Social NLP tasks
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
prrao87/fine-grained-sentiment
A comparison and discussion of different NLP methods for 5-class sentiment classification on the...
TheophileBlard/french-sentiment-analysis-with-bert
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment...
jon-chun/sentimentarcs_notebooks
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in...