Introduction to Text Classification in R with quanteda

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Import text documents, reshape texts from documents to paragraphs, and turn your texts into a machine readable format.

Classify presidential concession speeches by political party using a Naive Bayes algorithm and assess the accuracy of the predictions.   

Clock2 hours
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this guided project you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), reshape them into paragraphs from documents and tokenize the text all using the R software package quanteda. You will then learn how to classify the texts using the Naive Bayes algorithm. This guided project is for beginners interested in quantitative text analysis in R. It assumes no knowledge of textual analysis and focuses on exploring textual data (US Presidential Concession Speeches). Users should have a basic understanding of the statistical programming language R.

개발할 기술

  • Ordered Pair
  • Text Analysis
  • Algorithms
  • Statistical Programming Languages
  • Computer Programming

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Load text documents into R studio, convert a number of text documents into a corpus, and extract data from text document file names and add them to a new column in a dataframe. 

  2. Reshape the dataset into paragraphs from documents and check for balance in your labels. 

  3. Split up a text document corpus into tokens, or individual words and punctuations. Then clean the data by removing specific words and spellings.

  4. Create a Document Feature Matrix, divide it into train and test sets and run a Naive Bayes model. Then examine the model’s prediction accuracy and learn about accuracy, precision, and recall.   

  5. Run Naive Bayes models for a second and third time. Then examine the models' predictions and compare the model outputs with results from the previous task.

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

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