Topic Modeling
Topic Modeling is a research topic within Artificial Intelligence. Science Explorer counts 73k research works in it since 1956. 9.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of advancements in natural language processing, including neural network architectures, word representation models, machine translation techniques, text classification algorithms, semantic similarity measures, named entity recognition methods, pretrained language models, sequence-to-sequence learning approaches, topic modeling strategies, and information retrieval systems.
- Neural Networks
- Word Representation
- Machine Translation
- Text Classification
- Semantic Similarity
- Named Entity Recognition
- Pretrained Models
- Sequence-to-Sequence Learning
- Topic Modeling
- Information Retrieval
- Research works
- 73k fractional, since 1956
- In the world top 10%
- 6.9k per year above
- Top-10% rate
- 9.6% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +65% the tick is no change
- Largest producer
China
44% of the 10 largest, 2022-now
Discussion
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