Course Outline

Pengantar Peringkasan Teks dengan Python

  • Membandingkan contoh teks dengan ringkasan yang dibuat secara otomatis
  • Menginstal sumy (baris perintah Python yang dapat dieksekusi untuk peringkasan teks)
  • Menggunakan sumy sebagai Utilitas Peringkasan Teks Baris Perintah (Latihan Praktis)

Mengevaluasi tiga pustaka peringkasan Python: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17 berdasarkan fitur yang terdokumentasi

Memilih perpustakaan: sumy, pysummarization atau readless

Membuat aplikasi Python menggunakan perpustakaan sumy di Python 2.7/3.3+

  • Menginstal perpustakaan sumy untuk Peringkasan Teks
  • Menggunakan metode Edmundson (Ekstraksi) dalam sumy Python Library for Text

Peringkasan

  • Membuat kode pengujian Python sederhana yang menggunakan perpustakaan sumy untuk menghasilkan ringkasan teks

Membuat aplikasi Python menggunakan perpustakaan pysummarization di Python 2.7/3.3+

  • Menginstal perpustakaan pysummarization untuk Peringkasan Teks
  • Menggunakan perpustakaan pysummarization untuk Peringkasan Teks
  • Membuat kode pengujian Python sederhana yang menggunakan pustaka pysummarization untuk menghasilkan ringkasan teks

Membuat aplikasi Python menggunakan perpustakaan readless di Python 2.7/3.3+

  • Menginstal perpustakaan yang dapat dibaca untuk Peringkasan Teks
  • Menggunakan perpustakaan baca untuk Peringkasan Teks

Membuat kode pengujian Python sederhana yang menggunakan pustaka tanpa baca untuk menghasilkan ringkasan teks

Pemecahan masalah dan debugging

Kata penutup

Requirements

  • Pemahaman tentang pemrograman Python (Python 2.7/3.3+)
  • Pemahaman tentang Python perpustakaan secara umum
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (5)

Fakta memiliki lebih banyak latihan praktis menggunakan data yang lebih mirip dengan apa yang kami gunakan dalam proyek kami (gambar satelit dalam format raster)

Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask

Machine Translated

Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)

Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI

It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course

Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask

Trainer develops training based on participant's pace

Farris Chua
Course - Data Analysis in Python using Pandas and Numpy

As I was the only participant the training could be adapted to my needs.

Kevin THIERRY
Course - Web Development with Web2Py

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