Keyword Extraction and Analysis Pipeline & Application with KeyBERT and Taipy
Get Tweet by giving keyword and do keyword analysis
A helper to compare and identify similar keywords using PHP.
A simple scientific paper based trend viewer using the number of results in Google Scholar.
Textmetrics (formerly webtexttool) for Craft CMS v2.x
AI SEO platform created with nuxt
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.
A script is designed to help SEO specialists, data analysts, and digital marketers optimise their keyword targeting strategies.
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 Note: Deprecated as of June 30, 2021, and no longer maintained.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
Texmetrics (formerly webtexttool) for Craft CMS 3.x
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
Custom element extension for Kontent.ai bringing Semrush Keyword analytics into your app.
Classifying images into discrete categories based on keywords generated from the Google Cloud Vision API
Keyword Density Checker is designed to analyze the keyword density of a given piece of text.
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.
NLP (Natrual Language Processing) API via the pke (Python Keyphrase Extraction) engine.
"Keyword Insights" Allows users to visualize and compare keyword search results from Semantic Scholar. Users can input JSON data from their search queries to generate interactive charts that display yearly publication trends and fields of study comparisons.
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