Analyzing Public Opinion with Python – Twitter Sentiment Analysis
Harness Machine Learning to Gain Insights into Public Sentiments, Discover Trends, and Monitor Your Brand’s Reputation.
Harness Machine Learning to Gain Insights into Public Sentiments, Discover Trends, and Monitor Your Brand’s Reputation.
The text information over the internet is increasingly growing and sentiment analysis is now becoming a common tool to help companies, analysts, and researchers to learn public opinions towards certain topics by extracting positive and negative sentiments from each consisting word of a text document. Sentiment analysis is the process of using natural language processing, text analysis, and computational linguistics to identify and extract subjective information from text data.
Using data from scraping Twitter to do sentiment analysis involves collecting a large amount of textual data from Twitter, processing it using natural language processing techniques, and then analyzing the sentiment of the collected data. Using data from Twitter to perform sentiment analysis can be useful for a variety of applications, such as understanding public opinion on a particular topic, identifying emerging trends or issues, and monitoring brand reputation.
This 3-day online workshop is a beginner-friendly introduction to sentiment analysis using Machine Learning in Python and scraping tweets from Twitter. Throughout the online course, we will provide participants with hands-on examples and a rich interactive experience. One Instructor and two Teaching Assistants will help participants troubleshoot or help with any difficulties encountered.
Python Programming Basics
Scrapping Tweet from Twitter
Sentiment Analysis
This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.
Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.
Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.
If I don’t have any IT or programming skills, can I still attend this workshop?
Yes, you can still attend the workshop as it is a beginner-friendly workshop.
How to join the interactive-online learning class after I’ve done the payment & registration?
Our system will send you an email containing a link and details to join a Google Classroom.
What platform will be utilized for this online-interactive learning workshop?
Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.
How will the participants receive the learning materials?
Learning materials can be obtain via Google Classroom
Would I receive a certificate after participating in the Workshop?
Yes, you will receive a certificate of completion.
A Senior Data Science Instructor at Algoritma Data Science School, he believes that accessible data science translates to numerous productivity benefits, leading to a better society. Handoyo is a passionate Instructor with expertise in both R and Python programming languages. He has more than 800 hours of teaching experience and involved in numerous consultative data science training for our clients, to name a few: