Помощь      Поиск      Участники      Календарь      Новости
 Учебные Материалы      ВАЛтест     Фотогалерея Фотогалерея
 Правила форума      Виртуальные тренажеры      Мемуары


  Reply to this topicStart new topicStart Poll

> Practical Guide to Text Mining and Feature, Engineering in R
Подписка на тему | Сообщить другу | Версия для печати
VAL
Дата 22.07.2019 17:50
Quote Post
Offline



Мэтр, проФАН любви... proFAN of love
*****

Профиль
Группа: Администраторы
Сообщений: 38059
Пользователь №: 1
Регистрация: 6.03.2004
Practical Guide to Text Mining and Feature Engineering in R
Источник: https://www.hackerearth.com/fr/practice/mac...ing-r/tutorial/

QUOTE
Introduction

The ability to deal with text data is one of the important skills a data scientist must posses. With advent of social media, forums, review sites, web page crawlers companies now have access to massive behavioural data of their customers.

Yes, companies have more of textual data than numerical data. No doubt, this data will be messy. But, beneath it lives an enriching source of information, insights which can help companies to boost their businesses. That is the reason, why natural language processing (NLP) a.k.a Text Mining as a technique is growing rapidly and being extensively used by data scientists.

In the previous tutorial, we learnt about regular expressions in detail. Make sure you've read it.

In this tutorial, you'll about text mining from scratch. We'll follow a stepwise pedagogy to understand text mining concepts. Later, we'll work on a current kaggle competition data sets to gain practical experience, which is followed by two practice exercises. For this tutorial, the programming language used is R. However, the techniques explained below can be implemented in any programming language. 


--------------------
www.valinfo.ru
Всегда... Always....
Quod licet jovi, non licet bovi!
PMEmail PosterUsers Website
Top
VAL
Дата 22.07.2019 17:51
Quote Post
Offline



Мэтр, проФАН любви... proFAN of love
*****

Профиль
Группа: Администраторы
Сообщений: 38059
Пользователь №: 1
Регистрация: 6.03.2004
QUOTE
Table of Contents

    What is Text Mining (or Natural Language Processing ) ?
    What are the steps involved in Text Mining ?
    What are the feature engineering techniques used in Text Mining ?
    Text Mining Practical - Predict the interest level


--------------------
www.valinfo.ru
Всегда... Always....
Quod licet jovi, non licet bovi!
PMEmail PosterUsers Website
Top
1 Пользователей читают эту тему (1 Гостей и 0 Скрытых Пользователей)
0 Пользователей:
« Предыдущая тема | Международный конгресс юмористов (в Питере) + Text mining | Следующая тема »

Topic Options Reply to this topicStart new topicStart Poll

 

Powered by Invision Power Board(U) v1.3 Final © 2003  IPS, Inc.
Установка, модификация и поддержка:
Barsum | 1px Design Group & Xac | OппаRU форум