This is data science assignment, Schemes and Mind Maps of Data Mining

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Text analysis and Data

analysis

Present by: Fatima Tanvir Sadia Qadir Maryam Shumaila yousef Rida Riaz

What is text analysis?

Text analysis is the process of using computer systems to read and understand human written text for business insight. Text analysis software can independently classify, sort and extract information from text to identify pattern, relationship, sentiment, and other actionable knowledge.

Text analysis method

1.Language detection 2.sentiment analysis 3.Text summarization 4.Text classification 5.Entity extraction 6.concept extraction

Language detection

Language identification is a first step in any text analysis. If the language of a document is misidentified, all subsequent language specified models will produce result. It automatically detect and tag article as written in a certain language.

Text summarization

Text summarization is the process of creating shorter text without removing the structure of text. There are two approaches to text summarization. 1.Abstractive approach 2.Extractive approach

Text classification

Text classification also known as text tagging or text categorizing text into organized groups. By using Natural Language processing , text classifier can automatically analyze text and assign a set of predefined tags or categories based on its content.

Concept extraction

Concept extraction is a key technique of text classification based on concepts. In this research ,the defined as a set of measurable pattern are used to discover the relationship between particular document and particular class.

What is Data analysis?

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision making. The purpose of data analysis is to extract useful of data analysis is to extract to useful information from data and taking the decision based upon the data analysis.

Data analysis process

The data analysis process is nothing but gathering information by using proper application or tool which allows you to explore the data and find a pattern in it. Data analysis consist of the following phase 1:Data requirement Gathering 2:Data Collection 3:Data cleaning 4:Data Analyze 5:Data interpretation

Types of the Data Analysis

Descriptive analysis Predictive analysis Diagnostic analysis Prescriptive analysis

Predictive analysis

With the help of predictive analysis, we determine the future outcome. Based on the analysis of the historical data, we are able to forecast the future.

Diagnostic analysis

At times, businesses are required to think critically about the nature of data understand the descriptive analysis in depth. With diagnostic analysis we are able to diagnose various problem that exhibited through our data.