| import streamlit as st
|
|
|
| st.write("<h1><center>Intro to NLP</center></h1>",unsafe_allow_html=True)
|
|
|
| st.write("<h3>NLP stands for Natural Language Processing</h3>",unsafe_allow_html=True)
|
|
|
| st.write("<p>Natural Language Processing (NLP) is a field of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and respond to human language. It involves the interaction between computers and humans through natural language, aiming to make it easier for machines to process and analyze large amounts of natural language data.</p>",unsafe_allow_html=True)
|
|
|
| st.write("<p>NLP combines computational linguistics and machine learning to help computers perform tasks such as translating text, recognizing speech, analyzing sentiments, summarizing content, and answering questions. It allows machines to handle language in a way that is both meaningful and useful for various applications, such as chatbots, virtual assistants, and search engines.</p>",unsafe_allow_html=True)
|
|
|
| st.write("<p>By using techniques like tokenization, part-of-speech tagging, and named entity recognition, NLP makes it possible for computers to break down and understand text, allowing them to handle a wide range of tasks that involve human language. Despite its progress, NLP still faces challenges like ambiguity in language and understanding context, but it continues to evolve with advancements in AI.</p>",unsafe_allow_html=True)
|
|
|
|
|
| st.write("<h1><center>What is NLP?</center></h1>",unsafe_allow_html=True)
|
|
|
|
|
| st.write("""
|
| **Natural Language Processing (NLP)** is a field of technology that helps computers understand, interpret,
|
| and respond to human language in a way that feels natural. It allows machines to work with text or speech
|
| in a way similar to how humans do, such as reading, listening, and talking.
|
| """)
|
|
|
|
|
| st.markdown("<h2 style='font-size: 20px;'>At its core, NLP involves:</h2>", unsafe_allow_html=True)
|
|
|
| st.write("""
|
| - **Understanding Language**: Teaching computers to understand what words mean and how sentences are formed.
|
| - **Text and Speech Processing**: Converting spoken or written language into something that computers can work with.
|
| - **Making Predictions**: Helping computers make decisions or predictions based on language, such as determining if a review is positive or negative.
|
| """)
|
|
|
|
|
| st.markdown("<h2 style='font-size: 20px;'>NLP in Everyday Applications</h2>", unsafe_allow_html=True)
|
|
|
| st.write("""
|
| NLP is used in everyday applications like voice assistants (e.g., Siri or Alexa), chatbots, translation tools
|
| (e.g., Google Translate), and even in recommendation systems (e.g., suggesting what to watch next).
|
| It’s all about making computers more "language-smart."
|
| """) |
