Hello Otmane,
✅I will show you my recent projects for semantic keyword search algorithm So it's surety for you to get perfect solutions from my side.
✅ Semantic Keyword search algorithm that's includes:
➡️ leverages NLP and machine learning techniques to understand and interpret user queries more effectively for Improve search result accuracy and relevance by matching the intent and context of queries with the most appropriate content.
➡️suitable for deployment in various applications such as web search engines, e-commerce platforms, and knowledge management systems.
➡️ Data Collection from sources like Twitter websites, databases, or internal documents.
➡️ Data Preprocessing (Cleaning, Normalization/Standardization, Feature Engineering, etc.)
➡️ NLP techniques such as named entity recognition (NER), part-of-speech tagging, and dependency parsing to analyze and understand user queries. Contextual Embeddings as employ state-of-the-art word and sentence embedding techniques (e.g., BERT, GPT) to capture the semantic meaning of words and phrases in both the query and the content.
➡️ Deep Learning Model Selection as pre-trained models are available, consider fine-tuning them (e.g., BERT for text, ResNet for images)
➡️ Semantic Matching (Similarity Scoring) and Ranking.
✅ I am from India, GMT +5:30, and I am available from 8:00 a.m. to 11:00 p.m.
Note: The project Budget and Time will be finalize after discuss with you.