Did it ever occur to you that you can analyze a piece of text to discover the hidden sentiment behind it? As astonishing as it may appear, this is possible through Python sentiment analysis, a specific methodology to analyze copy. This process calls for a combination of machine learning and language processing, with the backdrop of a specific programming language, which is where Python comes into play. Sentiment analysis is an important topic, particularly in the business world, owing to its relevance in solving business problems. This course is about understanding the methodology of Python sentiment analysis. Sentimental analysis, often referred to as sentiment classification, is about text classification tasks. If you are supplied with a phrase, a classifier is theorized to highlight the sentiment behind it. Sentiment analysis decides if the sentiment is positive, negative, or even neutral.
Since computers cannot transform abstract language, we need to resort to a programming language to convert the text under analysis to unique numbers, interpreted to highlight the sentiment. Python is the most widely used programming language because it lets you work while integrating systems more effectively. In this course, we will emphasise PyCharm, which can provide all the tools you need for a more productive Python development. Unlike Visual Studio, Pycharm is an excellent IDE (integrated development environment) for Python. Providing more reliable code completion and the best code inspections, Pycharm is ideal for quick fixes, leading to better performance in sentiment analysis.
Another essential notion you will learn relates to TextBlob. It is a specific Python library to process textual data. TextBlob provides a simple API allowing you to dive into natural language processing (NLP), including part of speech tagging, noun phrase extraction and sentiment analysis. Other NLP includes translation and classification. In this course, we introduce you to polarity and subjectivity, which are TextBlob-related concepts. TextBlob concepts lie within the range of negative one and positive one; polarity is just a float, with negative one meaning negative statement and positive one meaning a positive statement. Subjectivity, a float-related notion, lies within the range of zero and one. A personal opinion, a judgement, and even an emotion are generally referred to as subjective sentences. Conversely, only factual information can be objective. This course will undoubtedly be helpful to IT or development professionals and students alike who have an excellent command of Python and are interested in data science. Start Course Now
What You Will Learn In This Free Course View All Learning Outcomes View Less
All Alison courses are free to enrol study and complete. To successfully complete this course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this course, you have the option to acquire an official Diploma, which is a great way to share your achievement with the world.
Your Alison is:
- Ideal for sharing with potential employers
- Include it in your CV, professional social media profiles and job applications.
- An indication of your commitment to continuously learn, upskill & achieve high results.
- An incentive for you to continue empowering yourself through lifelong learning.
Alison offers 3 types of Diplomas for completed Diploma courses:
- Digital : a downloadable in PDF format immediately available to you when you complete your purchase.
- : a physical version of your officially branded and security-marked , posted to you with FREE shipping.
- Framed : a physical version of your officially branded and security marked in a stylish frame, posted to you with FREE shipping.
All are available to purchase through the Alison Shop. For more information on purchasing Alison , please visit our FAQs. If you decide not to purchase your Alison , you can still demonstrate your achievement by sharing your Learner Record or Learner Achievement Verification, both of which are accessible from your Dashboard. For more details on our pricing, please visit our Pricing Page