A standardized public sentiment analysis toolkit powered by NLP technology. Its pre-trained models support sentiment classification for six European languages—including English, German, and French—and are capable of batch-processing Amazon reviews, Twitter mentions, or customer service chat logs. The deliverable package includes Python scripts and pre-annotated datasets, generating outputs such as sentiment polarity distribution, keyword clouds, and sentiment trend visualizations.
The toolkit features a built-in industry benchmark library that automatically compares your brand’s sentiment score against the average of your competitors. It is ideally suited for brand PR teams seeking to quantify the emotional impact of marketing campaigns, or for product managers looking to identify unmet customer needs and pain points.