- Sentiment service, with Docker support
- Based on pSenti GitHub project
The core of pSenti is its lexicon-based system, so it shares many common NLP processing techniques with other similar approaches.
Library with samples can be found here
reviews = ['I love this hello kitty decal! I like that the bow is pink instead of red. Only bad thing is that after putting it on the window there a few air bubbles, but that most likely my fault. Shipped fast too.',
'I bought this for my 3 yr old daughter when I took it out the pack it had a bad odour, cute but very cheap material easy to ripe. When I tried it on her it was too big, but of course she liked it so I kept it. I dressed her up in it and she looked cute.']
user_name = socket.gethostname()
host = 'sentiment2.wikiled.com'
port=80
with SentimentConnection(host=host, port=port, client_id=user_name) as connection:
analysis = SentimentAnalysis(connection, domain='market')
for result in analysis.detect_sentiment_text(amazon_reviews):
if result['Stars'] is None:
print('No Sentinent')
else:
print(f'Sentinment Stars: {result["Stars"]:1.2f}')