Posts

Take 2

-
/* Creating a text summarization program in Python within Jupyter Notebook involves using libraries like NLTK, spaCy, or transformers (for advanced models like BERT). Here's a step-by-step guide to build a basic text summarizer: Steps: 1. Install Required Libraries Ensure the following libraries are installed. You can install them using: pip install nltk spacy transformers 2. Choose a Summarization Approach Extractive Summarization: Extracts key sentences from the text. Abstractive Summarization: Generates a concise version of the text using advanced models like BERT. 3. Implementation Below is an example code for both approaches. --- Code 1. Extractive Summarization with NLTK This method selects important sentences from the text based on word frequency. # Import required libraries import nltk from nltk.tokenize import sent_tokenize, word_tokenize from nltk.corpus import stopwords from collections import Counter # Download NLTK data (run only once) nltk.downloa...
Post a Comment
Read more

Take 1

-
/* Creating a text summarization in Python can be done using popular libraries like transformers, spaCy, or gensim. Here's a step-by-step guide to implementing text summarization in a Jupyter notebook: Step 1: Install Necessary Libraries First, ensure you have the required libraries installed. You can use the following commands in your Jupyter notebook: !pip install transformers !pip install torch Step 2: Import Required Libraries Import the necessary modules for text summarization. We'll use the transformers library with a pre-trained model for summarization. from transformers import pipeline Step 3: Load the Pre-Trained Model Initialize a pre-trained summarization pipeline. summarizer = pipeline("summarization") Step 4: Input the Text for Summarization Provide the text you want to summarize. text = """ Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific appl...
Post a Comment
Read more

Text summarization sample

-
Happy coding # Install dependencies in Jupyter Notebook !pip install sumy nltk # Import necessary libraries from sumy.parsers.plaintext import PlaintextParser from sumy.nlp.tokenizers import Tokenizer from sumy.summarizers.lex_rank import LexRankSummarizer # Define summarization function def summarize_text(text: str, sentence_count: int = 5) -> str: parser = PlaintextParser.from_string(text, Tokenizer("english")) summarizer = LexRankSummarizer() summary = summarizer(parser.document, sentence_count) summarized_text = " ".join([str(sentence) for sentence in summary]) return summarized_text # Input text input_text = """ Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. The ideal charact...
Post a Comment
Read more

Documentation

-
Documentation in HTML JS Documentation Introduction What you should already know JavaScript and Java Hello world Variables Declaring variables Variable scope Global variables Constants Data types if...else stateme...
Post a Comment
Read more

Calculator

-
My Calculator Using HTML and CSS Mani Calculator
Post a Comment
Read more

Login Form

-
Image
Login Page Log in to your account English [Panel contents here] Invalid login credentials. Username * Password * Keep me logged in for 30 days. Log in ...
Post a Comment
Read more

Registration Form

-
Registration Form Using Table in HTML Student Registration Form Using Table in HTML First Name (Max 50 Characters Allowed) Last Name (Max 50 Characters Allowed) Email ID Mobile Number (10 Digits Allowed) Gender Male Female Others Date of Birth(DOB) Day: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Month: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year: 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 Address City (Max 50 Characters Allowed) Pin Code (Max 6 Numbers Allowed) State (Max 50 Characters Allowed) Country Hobbies Drawing Singing Dancing Sketching Others (Max 50 Characters Allowed) Qualification High Sch...
Post a Comment
Read more