Extracting Text Meaning using TF-IDF
Edoardo Cantagallo
Python
12 Chapters
2 Studying now
This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.
Технологія
Python
Мова
En
Відгуки
4.0
Розділи
12
Навчаються зараз
2
Опис курсу
This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.
Рецензії
2 відгуків
Elena C.
вчора
not a great project. it gives a good taster of nlp but does not explain the concepts involved and the practice element is just python practice without really touching the nlp specifics
