OUTLINE Introduction: What is Sentiment Analysis? Use Case: Twitter Data Aim of the project Tools used and workflow Data Gathering Data Wrangling/Preprocessing Sentimen...
Today, we are going tocreate an Android mobile appforWordsAPI. This will be a powerful app that will cover the chosen API and extend it with some additionalNLP features. As the main project instrument, we will usePython. We also have the opportunity of working with a cross-platform UI fr...
We used TextBlob a Python library built on NLTK (a suite of libraries for NLP) as it allows you to perform quite an efficient sentiment analysis. What we got out of it was quite nice. Basically a solid correlation. The more shared the headline, the less positive/more polarizing it is. ...
You can use two methods to encrypt files on instance stores. The first method isdisk encryption, in which the entire disk or block within the disk is encrypted by using one or more encryption keys. Disk encryption operates below the file-system level, is operating-system agnostic, and ...
AI engineers use various NLP libraries and tools to facilitate the development of NLP models and applications. Some popular libraries include: NLTK (Natural Language Toolkit) Sentiment Analytics Gensim TextBlob CoreNLP These NLP libraries and tools provide AI engineers with the necessary means to proces...