NLP and Sentiment Analysis for Beginners

该计划将让您深入了解 NLP 和情感分析如何帮助您确定沟通的情感意义。您将了解 NLP 应用程序和情感分析如何帮助您以有价值的方式阅读、理解和解码人类语言。该程序将引导您了解不同的 NLP 算法，您将获得有关如何用 Python 编写代码和实现 NLP 算法的实用知识。

该计划将帮助您从基础到高级学习 NLP、情感分析和深度学习。您将学习语言同化的各个方面、语言处理的方式和语言的构成。

因此，准备好学习和掌握 NLP 和情感分析的最新技术

您将学到的主要概念！

自然语言处理简介

语言技巧

文本处理

词袋和 N-gram 模型

概率语言模型

情绪分析

语音标记和序列标记

为什么要学习 NLP 和情绪分析？

自然语言处理是确定数据是正面、负面还是中性的重要因素。此外，它有助于解决语言的模糊性，并为许多下游应用程序的数据提供有用的数字结构，例如语音识别、文本分析，甚至基于行为的数据构建。

Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 45 lectures (5h 14m) | Size: 3.96 GB

The complete program to master NLP from ground up

What you’ll learn

• Learn NLP from ground up
• Learn to build NLP solution using Python and Jupyter notebook
• Learn to use Sentiment analysis in your product
• Learn to build real world NLP solutions

Requirements

Basic knowledge of Python is required to complete this course

Description

Want to learn how to use NLP and sentiment analysis in your products

This program will give you in-depth knowledge of how NLP and sentiment analysis helps you determine the emotional meaning of communications. You’ll learn how NLP applications and Sentiment analysis help you to read, understand, and decode human words in a valuable manner. This program will walk you through different NLP algorithms, and you’ll get practical knowledge on how to write code in Python, and implement NLP algorithms.

This program will help you learn NLP, Sentiment Analysis, and Deep Learning from basic to advance. You’ll learn the various aspects of language assimilation, ways of language processing, and the composition of languages.

So, get yourself ready to learn and master the state of the art of the NLP and sentiment analysis

Major Concepts That You’ll Learn!

Introduction to NLP

Linguistic Techniques

Text Processing

Bag-of-Words and N-grams Model

Probabilistic Language Models

Sentiment Analysis

Speech Tagging and Sequence Labelling

Why Should You Learn NLP & Sentiment Analysis?

Natural Language Processing is an important factor to determine whether data is positive, negative, or neutral. Also, it helps resolve vagueness in language and gives useful numeric structure to the data for many downstream applications, such as speech recognition, text analytics, and even behavior-based data building.

Perks Of Availing This Program!

Get Well-Structured Content

Learn From Industry Experts

Learn Trending NLP Tool & Technologies

So why are you waiting? make your move to learn trending NLP & sentiment analysis skills now.

See You In The Class!

Who this course is for

Anyone who wants to learn NLP will find this course very sure