Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
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Updated
Nov 3, 2024 - HTML
Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
Proof of Asset - Smart Contracts Core
Text Tokenizer Playground ( Transformers.js ) SDK in Hugginface.
Python script and HTML page to analyze token costs from ChatGPT export chats. Extracts messages, calculates token usage, and determines monthly costs. The Python script saves results to a CSV file, while the HTML page provides an interactive, local analysis tool with support for multiple models and ensures data privacy.
XFT's swagger API docs for tokenized intellectual property. Use XFT's API to trade royalties!
Demo app for email tokenization and detokenization with Vaulty
final repository for fornax search engine library. [see psaximo.net and true.fornax.net for details.]
Udacity Natural Language Processing Nanodegree.
This projects is dedicated to an University Assignment about Natural Language Processing With Freeling and Python
XFT's prediction market docs
Blockchain in Practice: Your Step-by-Step Guide to Mastering the Digital Future
[Tokenization, Topic Modeling, Sentiment Analysis, Network of Bigrams] The purpose of this project is to see if text mining techniques can ease better analysis for categorizing movies with just the Descriptions while ignoring the Genre from the dataset, IMDB_movies.csv, which is stored under the data frame variable, movies_desc. Tokenization (TF…
The ongoing development of the Stellar network, including enhancements to scalability and security, positions XLM as a promising asset for long-term investors.
Chat-Who is an Chatbot built using the concepts of NLP and CNN.
A restaurant management web application in which the system assigns a unique token to each order and notifies the customer when the order is complete.
XFT's tokenized luxury watch marketplace.
SUPERSTATE
Developed a seach engine using Eclipse IDE, Java, HTML, CSS, and Bootstrap and used HTML to Text using Jsoup, Tokenization, Inverted Index, and Edit Distance to find best result relevant to input
natural language processing (NLP) analysis on the script of "The Shawshank Redemption"
XFT money market fund data
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