What is Amazon Comprehend?

Amazon Comprehend, an offering from Amazon Web Services (AWS), is a natural language processing (NLP) service designed to analyze and extract valuable insights from textual data. Leveraging machine learning algorithms, it performs tasks such as language detection, named entity recognition (identifying names, places, organizations, etc.), key phrase extraction for summarization, sentiment analysis to determine positive, negative, neutral, or mixed sentiments, and even topic modeling to identify main themes in a collection of documents.

Features of Amazon Comprehend

Amazon Comprehend provides a handful of features to the developers to utilize machine learning to perform text analysis:

1. Entity recognition

Entity recognition is a feature of Amazon Comprehend that involves identifying and categorizing entities within a given text. Entities are specific pieces of information that refer to real-world objects, such as names of people, locations, organizations, dates, quantities, percentages, and more

2. Sentiment analysis

Sentiment analysis is a feature of Amazon Comprehend that involves determining the sentiment expressed in a piece of text. Sentiment refers to the emotional tone or attitude conveyed by the text, and sentiment analysis aims to classify the overall sentiment as positive, negative, neutral, or mixed.

3. Real-time analysis

Real-time analysis refers to the capability of the service to process and analyze text data as it becomes available, providing near-instantaneous insights. Instead of waiting for batch processing or analyzing data in large volumes at once, real-time analysis allows users to obtain results in close to real-time, making it suitable for applications and systems that require immediate responses.

Applications of Comprehend

Amazon Comprehend can be applied to a variety of use cases across different industries to extract valuable insights from textual data. Some example use cases of comprehend are given below:

1. Social media monitoring

Social Media Monitoring using Amazon Comprehend involves the automated analysis of textual content on social media platforms to gain valuable insights into public opinions, sentiments, and emerging trends. By utilizing features such as Sentiment Analysis, businesses can understand the emotional tone behind user-generated content, enabling them to gauge public opinion about their products, services, or events

2. Customer feedback analysis

Customer Feedback Analysis using Amazon Comprehend is a strategic approach that harnesses the power of machine learning to extract meaningful insights from a myriad of customer feedback channels, including reviews, comments, and surveys. With features such as Sentiment Analysis, businesses can swiftly classify customer sentiments as positive, negative, neutral, or mixed, providing an immediate overview of customer opinions.

3. Healthcare data analysis

Healthcare Data Analysis with Amazon Comprehend involves leveraging advanced natural language processing to extract key insights from a variety of healthcare texts. By identifying entities such as medical conditions and procedures, extracting key phrases, and analyzing sentiments in patient feedback, the service aids healthcare professionals in improving patient care, research, and administrative processes.

Try it yourself

Run the code widget below to use AWS Comprehend for sentiment analysis of a simple review.

import boto3
from pprint import pprint
# Create a session with configured credentials
session = boto3.Session(
    aws_access_key_id=aws_access_key,
    aws_secret_access_key=aws_secret_key,
    region_name='us-east-1'
)
comprehend = session.client('comprehend')
# Example list of customer reviews
reviews = [
    "This product is amazing! I love it.",
    "The service was terrible. I would not recommend it.",
    "Neutral review with some positive aspects.",
    "I'm undecided about this product.",
    "The delivery was fast and efficient."
]
def analyze_sentiment(text):
    response = comprehend.detect_sentiment(Text=text, LanguageCode='en')
    sentiment = response['Sentiment']
    return sentiment
if __name__ == "__main__":
    for review in reviews:
        sentiment = analyze_sentiment(review)
        print(f"Review: '{review}'")
        print(f"Sentiment: {sentiment}\n")

Here is a detailed explanation of the code:

Lines 4–8: Initiates a session with AWS access key, secret access key and region.

Line 10: Initiates a client for Comprehend using the session.

Lines 13–19: Defines a list of reviews for analysis by comprehend.

Lines 21–24: Defines a function to analyze sentiment of each review using AWS Comprehend.

Lines 26–30: The main functions loops through the list of reviews and analyze sentiment of each review.

Conclusion

Amazon Comprehend is a valuable tool for developers and businesses seeking to integrate advanced language understanding capabilities into their applications and workflows, making it particularly useful for tasks such as customer feedback analysis, content categorization, and social media monitoring.

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