Prepare my data for ML training
Budget $250-750 AUD
- I have a number of PDFs that I want to use to train an AI model.
1. Write specific and easy to follow scripts for each step of the process so that I can replicate at another date.
2. Carry out Preprocessing: Clean and preprocess the text data, removing any irrelevant information such as HTML tags, special characters, duplicates, and handle missing values.
3. Tokenize the text into smaller units, such as words or subwords, and convert the text into numerical representations, such as word embeddings, using techniques like stemming, lemmatization, and lowercasing.
4. Carry out text tagging - Assign labels or tags to individual tokens or sequences of tokens in the text (e.g., named entity recognition, sentiment analysis, topic classification, etc.) using spaCy, NLTK, Stanford NLP and Gensim.
49 freelances font une offre moyenne de 520 $ pour ce travail
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Hi I have worked on several ML projects before. I can help you with your task. I will do all required steps - preprocessing, cleaning, tokenization, word2vec, and tagging on one of the file you have attached. If you a Plus
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I am data scientist having 3+ years of experience. I have worked various NLP and big data project. I know how to preprocess big text datasets for an optimized ML algorithm. I have worked on various ML projects thats ma Plus