Natural Language Toolkit
Computer program

NLTK.org is the official website for the Natural Language Toolkit, a leading platform for building Python programs to work with human language data. The site provides resources and tools for natural language processing tasks such as tokenization, part-of-speech tagging, parsing, and semantic analysis. Users can access tutorials, documentation, and a range of downloadable corpora and models to support their research or development projects. NLTK.org also offers a vibrant community forum and links to related research papers, projects, and events in the field of computational linguistics.

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    Hosted in United States

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  • Site age
    17 yrs old

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Traffic rank
#41,466
Site age
17 yrs
Location
United States
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via Upwork schedule_type: Contractorwork_from_home: 1
Remote Python Developer (NLTK/NLP) - Voiceflip Technologies Inc Voiceflip Technologies Inc is seeking a highly motivated Python Developer with experience in NLP to join our team in a fully remote position. The successful candidate will be responsible for designing, developing, and maintaining software applications using Python and the NLTK package... Key Responsibilities: Develop, test, and maintain software applications using Python and the NLTK Remote Python Developer (NLTK/NLP) - Voiceflip Technologies Inc

Voiceflip Technologies Inc is seeking a highly motivated Python Developer with experience in NLP to join our team in a fully remote position. The successful candidate will be responsible for designing, developing, and maintaining software applications using Python and the NLTK package...

Key Responsibilities:

Develop, test, and maintain software applications using Python and the NLTK package.

Collaborate with cross-functional teams to understand and implement software requirements.

Research, design, and implement new NLP techniques to improve application performance.

Troubleshoot and debug issues with software applications.

Write and maintain documentation for software applications.

Continuously learn and stay up-to-date with the latest developments in NLP and Python programming.

Qualifications:

Strong experience with Python and the NLTK package.

Experience with NLP techniques and concepts.

Experience with WebSpeech API or similar voice input technologies.

Strong problem-solving and analytical skills.

Experience with Git and version control.

Strong written and verbal communication skills.

Bachelor's degree in Computer Science or related field (preferred).

Nice to have but not necessary skills:

Experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch

Experience with cloud services such as AWS, Azure, or GCP.

Experience with database systems such as MySQL, MongoDB, or PostgreSQL.

This is a fully remote position, allowing for a flexible work schedule and the ability to work from anywhere.

Voiceflip Technologies Inc is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
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via Upwork posted_at: 13 days agoschedule_type: Contractorwork_from_home: 1
I'm currently working on a bot that will help me identify opportunities to find high-yielding, high-demand products by comparing prices from other vendors and my suppliers. The bot will collect data on product prices and availability from these marketplaces, use data analysis and machine learning techniques to determine the best products to buy and sell, and execute the trades automatically... using APIs or web scraping tools. I have a dataset, I'm currently working on a bot that will help me identify opportunities to find high-yielding, high-demand products by comparing prices from other vendors and my suppliers.

The bot will collect data on product prices and availability from these marketplaces, use data analysis and machine learning techniques to determine the best products to buy and sell, and execute the trades automatically... using APIs or web scraping tools.

I have a dataset, scrapped using python and temporally stored to google sheets for testing, containing product information from different vendors and I need help to classify them according to brand, name, size, collection, gender, presentation, UPC, EIN, and description. However, since different vendors use different formats for the same product, some data processing and cleaning using Pandas would be required. Additionally, machine learning libraries such as scikit-learn and NLTK could be utilized for product classification.

An example of the data set is provided in the following link:

https://docs.google.com/spreadsheets/d/1jAABjD6AzxT_JNL5S-uhbPg-SvM6JAiZBzNRxAAEZ8c/edit?usp=sharing

milestones or deliverables

Milestone 1: Pre-process the data and extract relevant features

Milestone 2: Normalize the features and cluster similar products

Milestone 3: Train and evaluate machine learning models for product classification

Milestone 4: Integrate the product classification module into the arbitrage bot

Deliverables: Clean and well-documented code, project reports, and data visualizations

Thank you and please let me know any question you might have
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