Can ChatGPT Serve as an Integrated API for Multilingual Sentiment Analysis? In my pursuit of understanding sentiment analysis (since when I was in my graduation and the term “Data Mining” was hot), I encountered the challenge of effectively integrating the analysis of multiple languages simultaneously.
As a data professional, understand web applications can be quite challenging due to its distinct development landscape. Despite this, I had a idea of creating a straightforward solution that demystifies the entire process and offers a clearly idea how the things works under the hood.
This use case was created from an idea to have an integration data tool for a small company, for instance. Therefore, it is possible to use Apache Hop to integrate different kinds of systems and data.
Intro This repository contains Python scripts that enable the processing of real-time Twitter data using Kafka and MongoDB. The scripts are designed to fetch data from the Twitter API, filter the data based on specific criteria, and store the filtered data into a MongoDB database.
This following exploratory data analysis is one of the principal component of Data Science. First of all, the exploratory data analysis help the data scientist / or the data engineer to understand the DATA properly in aspect of: data quality data exploration business main characteristics and the data can tell us to help the hypothesis formulation.