🌟 What Are Semantic Algorithms?

Semantic algorithms focus on the meaning and relationships between words, phrases, and concepts in a given text. They go beyond keyword matching, diving into context, intent, and relevance.

🛠️ Key Semantic Algorithms

• 🔹 Natural Language Processing: Understand and process language.
• 🔹 Sliding-window in NLP: Analyze sequential word patterns.
• 🔹 Sequence Modeling in NLP: Context-aware word sequencing.
• 🔹 NLTK: Toolkit for NLP tasks.
• 🔹 Named Entity Recognition: Identify proper names/entities.
• 🔹 Relation Detection: Map relationships between entities.

Additional Models & Techniques

• 🔹 Pegasus: Summarization and text generation.
• 🔹 BERT: Deep bidirectional text understanding.
• 🔹 CALM: Adaptive language modeling.
• 🔹 REALM: Retrieval-augmented language modeling.
• 🔹 Conversational Search Experience: Natural dialogue-based queries.
• 🔹 MUM: Multitask unified search modeling.
• 🔹 PaLM: Creative writing, code generation, content summarization.
• 🔹 PaLM-E: Integrates language and vision for real-world tasks.