Extracting Text Meaning using TF-IDF
Edoardo Cantagallo
Python
12 Chapters
0 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.
Technology
Python
Language
En
Rating
2.8
Chapters
12
Course description
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.
Reviews
4 ratings
Elena C.
40 days ago
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
Chris C.
746 days ago
I cancelled my subscription within half hour and they said I cannot get a refund I can only wait until my subscription ends...
Adam D.
752 days ago
I think the project and functions require more in depth explanation and comments in code....
