Python
Machine Learning and NLP
2018
ID: 1CP0659
Improve Information Retrieval Using Modified Learning To Rank Methods
Keywords:
Information
Retrieval,
Machine
Learning,
NLP,
TF-IDF,
Word
Embedding,
Learning
to
Rank
Project Synopsis & Overview
This project improves biomedical information retrieval by applying modified learning-to-rank methods to identify and rank documents relevant to a user query. It uses a JSON document dataset, preprocessing, exploratory analysis, and NLTK-based text processing with TF-IDF, lemmatization, and word embeddings for semantic matching. The approach aims to improve retrieval relevance, result diversity, and search efficiency for complex biomedical search queries.
Complete Technical Specifications
| Project ID | 1CP0659 (DB ID: 659) |
| Project Title | Improve Information Retrieval Using Modified Learning To Rank Methods |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning and NLP |
| IEEE Year | 2018 |
| Package Price | ₹6500 |
| Created Date | Oct 31, 2026 |
Project Price
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