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The latest trends in AI
Detecting bad customer reviews with NLP
Introduction Sentiment analysis is part of the Natural Language Processing (NLP) techniques that consists in extracting emotions related to some raw texts. This is usually used on social media posts and customer reviews in order to automatically understand if some...
Customer reviews: identify your strengths and weaknesses with the help of web-scraping, data analysis and basic NLP
Customer feedback is a crucial source of information describing user experience with a company and its service. Just like in product development, efficient use of feedback can help identify and prioritize opportunities for company’s further development. Thanks to...
Analyzing Text with Amazon Elasticsearch Service and Amazon Comprehend
What does this AWS Solution do? Analyzing Text with Amazon Comprehend and Amazon Elasticsearch Service is an automated reference implementation that deploys a cost-effective, end-to-end solution for extracting meaningful insights from unstructured data such as...
What is Amazon Comprehend Medical?
Amazon Comprehend Medical is a service that detects useful information in unstructured clinical text. As much as 75% of all health record data is found in unstructured text: physician's notes, discharge summaries, test results, case notes, and so on. Amazon Comprehend...
What Is Amazon Comprehend?
Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. Amazon Comprehend processes any text file in UTF-8 format. It develops insights by recognizing the entities, key phrases, language, sentiments, and other...
10 minutes to pandas python data analysis toolkit
This is a short introduction to pandas, geared mainly for new users. You can see more complex recipes in the Cookbook. Customarily, we import as follows: In [1]: import numpy as np In [2]: import pandas as pd Object creation See the Data Structure Intro...