I will build NLP solutions for text classification and sentiment analysis

I will build custom NLP solutions tailored to your specific text data needs. Whether you have a small dataset or large volumes of unstructured text, I will help you extract meaningful insights and automate text-based tasks using modern NLP techniques.

Services included in this offer:

- Sentiment Analysis: Detect positive, negative, and neutral tone in customer reviews, social media posts, or any text data

- Text Classification: Categorize documents, emails, or messages into predefined labels automatically

- Named Entity Recognition: Extract names, locations, organizations, dates and more from raw text

- Keyword Extraction: Identify the most important terms and topics from large text collections

- Text Summarization: Generate concise summaries from long documents or articles

- Text Cleaning and Preprocessing: Remove noise, stopwords, and prepare data for any downstream task

Tools and Frameworks used:

Python, SpaCy, NLTK, HuggingFace Transformers, Scikit-learn, Pandas

What you will receive:

- Clean and well commented Python code

- Output results in CSV or JSON format

- Brief documentation explaining the solution

- Support for any questions after delivery

To get started I will need your dataset or sample text and a clear description of your expected output. Feel free to message me before ordering if you have any questions.