Accenture Interview Questions by Anonymous
Profile – NLP Engineer
- Explain TF and IDF
- Difference between BOW vs TF-IDF
- Steps for Training Deep Learning Model (Give one example of NLP and one for Computer Vision)
- What are the Hyperparameters of a DL model?
- What is Learning Rate and Gradient Descent?
- How many Hidden Layers were used in ur Model and why?
- Batch vs Epochs
- What is a Iteration?
- How to enable running GPU in the system?
- What is the GPU Model/Architecture/Company involved?
- What is Word2Vec?
- Word2Vec vs Glove Embeddings – How do they differ?
- Which Word2Vec model u used in your Project and How did u retrain the model?
- Which Glove model did u use for Semantic Similarity in your Project and How did u retrain the model?
- How to custom Train NER models in Spacy ? What are all needed?
- Semantic Similarity?
- What would you use the Score of Cosine Similarity in your project?
- What are Tensorflow, Keras, PyTorch – How do they differ and which you feel is better based on your preference?
- Explain Numpy, Pandas and Sklearn?
- What are the Data Cleaning and Pre-Processing methods in Pandas?
- How do you remove rows with null values using Pandas? Dropna
- How do you drop the columns? Drop
- What are all the NLP Libraries u used? Spacy, Gensim, StanfordNLP, Stanza, FastText.
- Explain Transfer Learning and One Model that uses Tranformer Architecture – BERT.
- Have you used Transfer Learning in real-time?
- What do you build Pipelines in Rasa and which version of Rasa have u used?
- Explain about your OCR Project and what was the Impact ?
- What are all the Real World Applications of NLP – Interviewer gave one example – Text Classification – Sentiment Analysis.
- Text Classification
- Text Summarization
- Spell Checker
- Language Translator
- Question Answering
- Resume-JD Parser
- Many more
29. What is POS Tagging?
30. What is k Fold Cross Validation and what will be your k value ?
31. What will be the % of Validation and Testing Data taken from the Training Data ?
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