Sentiment Analysis using fastText and Machine Learning هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Learn Sentiment Analysis with the machine learning and fasttext.

Build a strong foundation in Machine Learningwith this tutorial.

• Understanding of Sentiment Analysis

• Leverage Machine Learning to train and predict sentiments of reviews

• Use fastText for training word vectors

• Use fastText word embeddings for sentiment analysis

A Powerful Skill at Your FingertipsLearning the fundamentals of sentiment analysis puts a powerful and very useful tool at your fingertips. fastText is free, easy to learn, has excellent documentation.

Jobs in machine learning area are plentiful, and being able to learn sentiment analysis with machine learningwill give you a strong edge.

Machine Learning is becoming very popular. Alexa, Siri, IBMDeepBlue and Watson are some famous example of Machine Learning application. Understanding word embeddings is vital in information retrieval, sentiment analysis and document annotation. Learning word embeddings with machine learningwill help you become a machine learning developer which is in high demand.

Big companies like Google, Facebook, Microsoft, AirBnB and Linked Inalready using word embeddings with machine learningin information retrieval, content ranking, sentiment analysis and ad targeting in social platforms. They claimed that using Machine Learning and word embeddings has boosted productivity of entire company significantly.

Content and Overview

This course teaches you on how to build sentiment analysis using open source fastText framework. You will work along with me step by step to build following answers

Introduction to sentiment analysis

fastText deepdive

Training fastText model

Tune the accuracy of model

Learn use cases of fasttext

What am I going to get from this course?

• Learn sentiment analysis with fasttext and Machine Learning programming from professional trainer from your own desk.

• Over 10lecturesteaching you word embeddings

• Suitable for beginner programmers and ideal for users who learn faster when shown.

• Visual training method, offering users increased retention and accelerated learning.

• Breaks even the most complex applications down into simplistic steps.

• Offers challenges to studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.