This guide is intended for anyone who has a text problem they want solved
I need an expert in the field of Natural Language Processing (NLP) to write the Algorithm for a Resume Parsing system. We are basically looking to build a system like Rchilli, Sovren or Burning Glass, please search these for system requirements. Overview is: 1. Need to process resumes in all unstructured formats from .doc, .docx, pdf etc 2. Needs to understand multi-language resumes 3. Needs to work with misspelling or grammar mistakes 4. Phase 2 of the project will be to implement the semantic search function, so this feature must be able to be implemented as an upgrade We need the Algorithm that can be built to an application, you will work with our web developer in developing the application. Please ONLY that experts in NLP and Artificial Intelligence respond, previous experienc...
Plagiarism software that does similarity scoring with phyton and Nlp
### must have past experience with NLP & image classification model using Deeplearning / legacy algos Model to classify an image with text (20-200 words each) to large set of texts as labels (3-20 words each). Final label set could be as large as 300K points hence require both image features & the text within the image for classification. Giving final top 5 outputs based on probability for each image.
To make changes to the existing model given in the attached paper or to create a new model from scratch which induces multilingual word embeddings using adversarial settings (GANs etc).