text summarization ppt

1. TEXT SUMMARIZATION
Presented by: OM PATEL(19012011026)
AKSHAT PATEL(19012011106)

3. Problem Definition
 Everyone in today's technology-driven society has to produce some kind of
document online, whether it's a presentation, documentation, or even
email. We often see that students need to produce large pdf files in front
of their universities or colleges.
 The text contained in them sometimes becomes too lengthy and too hard
to understand. Despite the immense resources accessible on the internet,
getting through those large chunks of text can be highly perplexing for
the user.
 Natural language along with machine learning processing made it simpler
to summarise lengthy amounts of text into a cohesive and fluent summary
that only includes the document's important ideas.

4. Model used in project
 NLP (Natural Language Processing)
 Natural language processing (NLP) is a field that focuses on making
natural human language usable by computer programs. NLTK, or
Natural Language Toolkit, is a Python package that you can use for
NLP. A lot of the data that you could be analyzing is unstructured data
and contains human-readable text.

5. Text Sumarization techniques
 Text summarization can broadly be divided into two categories — Extractive
Summarization and Abstractive Summarization.
1. Extractive Summarization: These methods rely on extracting several parts,
such as phrases and sentences, from a piece of text and stack them together
to create a summary. Therefore, identifying the right sentences for
summarization is of utmost importance in an extractive method.
2. Abstractive Summarization: These methods use advanced NLP techniques to
generate an entirely new summary. Some parts of this summary may not even
appear in the original text.

6. Tools and Technology used in this
project.
 TOOLS
 Spyder/pycharm
 TECHNOLOGIES
 nlp-Machine learning
 LANGUAGE
 Python

7. PROTOTYPE

8. Conclusion
 Text summarization is the process of condensing large amounts of
information into concise, consumable texts. It helps readers
understand complex topics quickly by reducing the topics down to
their main points.
 Text Summarization has become an important part in today’s world
due to its necessity.
 Creating an effiicient and accurate text summarizer is our goal.