This project analyzes Etsy art listings to uncover insights that drive traffic and improve search visibility. Focused on keywords, pricing, and listing performance, it aims to help artists grow their online presence.
This project is a powerful tool for SEO professionals to filter and retain only the top-performing keywords. It allows you to set a threshold for the number of top keywords and outputs the results in CSV, Excel, or text format. This filtered keyword list can be used to generate high-quality content with LLM models, enhancing SEO efforts.
The Keyword Analysis Dashboard is a powerful tool designed to help marketers and SEO professionals analyze keyword data efficiently. This dashboard allows users to upload keyword data, configure analysis parameters, and visualize the results through interactive charts and tables.
Automates keyword searches in Google's Top Stories using Selenium for web scraping, gspread for Google Sheets, and a PyQt5 GUI. Note: Deprecated as of June 30, 2021, and no longer maintained. Use for reference or educational purposes only.
KS
The project aims to create movie recommendation system with algorithms, including content-based, popularity-based, and collaborative filtering methods. Data of over 4800 movies is used.
Keyword Density Checker is designed to analyze the keyword density of a given piece of text.
Texmetrics (formerly webtexttool) for Craft CMS 3.x
Textmetrics (formerly webtexttool) for Craft CMS v2.x
A simple scientific paper based trend viewer using the number of results in Google Scholar.
Custom element extension for Kontent.ai bringing Semrush Keyword analytics into your app.
A helper to compare and identify similar keywords using PHP.
Code of the shiny-app MH-shiny from: Volcanic-associated ecosystems of the Mediterranean Sea: a Systematic Map and an Interactive Tool to support their conservation
Keyword Extraction and Analysis Pipeline & Application with KeyBERT and Taipy
NLP (Natrual Language Processing) API via the pke (Python Keyphrase Extraction) engine.
a keyword analysis tool/API in flask: extracts keywords from e-commerce items in different categories and provides keywords/price distribution information with user’s feedback input;
This project uses the Tweepy library to extract tweets off twitter according to a particular keyword and performs sentiment analysis on the fetched tweets. The machine learning model was trained on the SMILE twitter emotion dataset.
R script to calculate the Average Reduced Frequency (ARF) of all words in a corpus
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