OptiIQ (Keyword Extraction - NLP Model)

OptiIQ is a keyword extraction project using the TF-IDF algorithm. This project demonstrates how to extract keywords from textual data, such as research papers, using NLP techniques. This repository contains a set of scripts to preprocess text from research papers, compute TF-IDF scores, and extract keywords. The primary goal is to identify significant keywords from the text of academic papers.

Files in the Repository

1. preprocessing.py: Handles text preprocessing tasks such as cleaning, tokenizing, and lemmatizing.
2. tfidf_extraction.py: Computes the TF-IDF matrix from the preprocessed text documents.
3. keyword_extraction.py: Extracts keywords from the TF-IDF matrix for a given document.
4. main.py: The main script that orchestrates the entire keyword extraction process, from reading the CSV file to printing the extracted keywords.
5. papers.csv: Contains the dataset of research papers, including fields like 'title', 'abstract', and 'paper_text'.
6. paper_authors.csv: For Reference
7. authors.csv: For Reference

Output:

The output of this process includes the top keywords extracted from the document in the dataset, along with their TF-IDF scores. These keywords represent the most important terms in each document and can be used for various purposes such as document summarization, content categorization, and information retrieval.

Using it as an SEO Model:

This keyword extraction model can be used for SEO purposes by adapting it to analyze web page content in the following proposed steps:

1. Web Scraping: Collecting textual content from web pages using a web scraper.
2. Preprocessing: Cleaning the collected text data by removing HTML tags, special characters, and stopwords.
3. Keyword Extraction: Applying the keyword extraction model to extract important keywords and phrases from the web page content.
4. SEO Analysis: Utilizing the extracted keywords to optimize various SEO elements such as meta tags.
5. Content Optimization: Optimizing the web page content based on the extracted keywords to improve its relevance and visibility in search engine results.
6. Monitoring: Continuously monitoring the SEO performance of the web page and iterating on the keyword extraction and content optimization process to enhance SEO effectiveness over time.