# Demonstrates the sentiment analysis capability of the expert.ai (local) Edge NL API performed by the 'sentiment' resource wrapped in the `sentiment` method of the client.
from expertai.nlapi.edge.client import ExpertAiClient
client = ExpertAiClient()
text = "Michael Jordan was one of the best basketball players of all time. Scoring was Jordan's stand-out skill, but he still holds a defensive NBA record, with eight steals in a half."
output = client.sentiment(text)
# Output overall sentiment
print("Output overall sentiment:")
print(output.sentiment.overall)
client = ExpertAiClient()
text = """Dear Mr. Avery
I am writing today to complain about my new Blender 365HB. I purchased this blender at your Woodbury, NY store on 8/9/2020.
I purchased the blender only 3 weeks ago and it is falling apart. The insert for the blade has warped and now I must stand there and hold the blender when it is on. Also, one of the blades on the blender is bend after blending ice. Now I'm very disappointed and I hate this blender so much! This performance is unacceptable and your store would not take it back because it was past the 14-day return. This is ridiculous! How was I supposed to know that all these defects would happen within the 14 days? This is bonkers!
I have attached a pdf below of my receipt. In addition, I have attached before and after pictures of the blender. I look forward to your response and your proposed solution to this problem. I have had blenders from Universal Blenders Co before and never have had this problem. Please contact me at the email I am sending you this from or my cell phone 845*******. Thank you for your help in advanced.
Best Regards,
Jane Billings
"""
output = client.classification(text)
print("\n", text)
print("\nTab separated list of categories:")
for category in output.categories:
print(category.id_, category.hierarchy, sep="\t")
output = client.extraction(text)
print("\nList of extractions:")
for extraction in output.extractions:
for field in extraction.fields:
print(field.name, field.value, sep="\t")
document = client.sentiment(text)
print("\nOverall email sentiment:\n", document.sentiment.overall)