Natural Language Processing (NLP) is a rapidly emerging field of Artificial Intelligence (AI) that enables computers to understand and interact with human language. It is an amazingly powerful tool that can give us insight into vast quantities of text data and glean knowledge from it in an efficient manner. NLP practitioners are experts who are able to apply natural language models, algorithms, and techniques to enable machines to process and understand human language while uncovering deep insights by analyzing sentiment and content.
Here's some projects that our expert NLP Practitioner made real:
- Using advanced computer vision techniques to decipher documents from scanned images
- Summarizing large quantities of information from financial documents
- Generating keywords from terms and phrases
- Identifying entities in text for data extraction
- Integrating NLP models into existing applications
- Designing algorithms for text analysis
- Creating machine learning models to analyze sentiment in text
The possibilities with NLP are practically limitless, as it provides ways to perform tasks in a fraction of the time it would take with manual methods. Our talented NLP Practitioner can help you unlock these potentials and pave new paths to discoveries through data. So if you want to make the most out of your data, post your own project on Freelancer.com and hire an experienced NLP Practitioner today!
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I need a Python - NLP expert whom can create a code which can detects an information is whether a negative/good info. Scrapping from a bunch of text from a media / news article.
I am looking for someone experienced with machine learning to help me develop a project to understand Indian dialect. The main objective of the project is to improve language translation. I require assistance finding the appropriate data sources, and the accuracy I need is moderate (70-90%). The ideal freelancer for this project would have extensive knowledge in machine learning, have experience working with data sources relevant to Indian dialect, and the ability to generate a model with moderate accuracy. If you fit these criteria and can help me with this project, I would love to hear from you. Thank you.
Currently, while generate and evaluate on a task using bigcode evaluation harness, it generates a .json file something attached below. The task is to try appending a single hard-coded prompt to prompts in TokenizedDataset in lm_eval/utils.py. First, understand what the exact structure of the resulting prompt will be like. E.g. “Prompt: print hello world nn Answer: print(‘hello world’) nn Prompt: read a file nn Answer: “; vs “Intent: print hello world nn Code: print(‘hello world’) nn Intent: read a file nn Code: “. a. “# prints hello world”; what separator to use between the prompt and the answer b. check the docs on huggingface for models - to see if they have examples of ICL (in-context learning) c. check the ...
Hello all, I have a ML and NLP task to classify file paths based on the file names, their folder names and a few other parameters as personal, confidential or Others. Task should be completed in 2 to 5 days.
I am seeking a data scientist with expert level experience in Natural Language Processing to help me achieve the specific goal of natural language understanding. Need someone who can help with processing the text data. I have multiple logs from past regarding different events of system failure for different parts. Rather than finding the most frequent, I am interested in getting the most important keywords and phrases from the log to find the real cause (which specific part) behind the system failure. Skills and experience required: - Expert level knowledge in Natural Language Processing (NLP) - Proficiency in Python - Experience in sentiment analysis and topic modeling - Ability to work within a tight deadline
FULL TIME CONTRACT (REMOTE) CONTRACT TO HIRE FULL TIME EMPLOYEE Salary: 60K-100K PKR/MONTH AI Engineer Job Description We are looking for a highly skilled engineer with a computer science background who is comfortable with state of the art AI based methods and machine learning algorithms. The AI engineer is mainly responsible for AI based methods, APIs, algorithm development and the integration of AI based solutions to the product. Experience with NLP is preferred. AI Engineer Responsibilities: Design and develop AI models to meet project requirements Convert AI/ML models into APIs that other developers can use Perform statistical analysis on big data sets Manage project infrastructure and the development of AI models and projects Work with Full stack developer, project manager, and consu...