Name : Sohom Ghosh Roll No: 35001621017 Registration No: 213500101610024 Dept: Electrical Engineering Subject: Artificial Intelligence Subject Code: OE-EE 701 A Semester: 7 th sem Session: 2021-2025 College: Ramkrishna Mahato Government Engineering College, Purulia Year: 4 th year Topic: The Steps of Natural Language Processing (NLP)
Introduction to NLP Definition: Natural Language Processing (NLP) is a field of Artificial Intelligence that focuses on the interaction between computers and human languages. Importance: NLP is crucial for various applications like text analysis, sentiment analysis, machine translation, chatbots, and more.
Step 1: Text Preprocessing Purpose: Clean and prepare raw text data. Key Processes: Tokenization: Splitting text into words/tokens. Lowercasing & Stop Word Removal: Ensuring uniformity and removing common words. Stemming/Lemmatization: Reducing words to their base forms.
Step 2: Text Representation & Feature Engineering Text Representation: Bag of Words ( BoW ), TF-IDF: Basic word frequency-based methods. Word Embeddings: Advanced methods capturing semantic meaning (e.g., Word2Vec, BERT). Feature Engineering: N-grams & POS Tagging: Capturing context and grammatical structure. Named Entity Recognition (NER): Identifying key entities like names, dates.
Step 3: Model Selection, Training & Evaluation Model Selection: Algorithms: Choose from Naive Bayes, SVM, RNNs, Transformers, etc. Training: Feeding the processed data into the model for learning. Evaluation: Metrics: Accuracy, precision, recall, F1-score. Cross-Validation: Ensuring the model generalizes well.
Step 4: Tuning, Optimization & Deployment Tuning & Optimization: Hyperparameter Tuning: Adjusting learning rate, batch size, etc. Regularization: Techniques to prevent overfitting. Deployment: API Development & Monitoring: Integrating the model into production and ensuring its ongoing performance.