Video Transcript Classification & API -- 2
Budget: ₹600 – ₹1,500 INR
In this project, we're aiming to categorize video transcripts, identify key topics, and enhance the searchability of video content. The main goal is to differentiate between questions and sentences contained within a video transcription CSV data file.
Following features are required:
- TF-IDF, LSA, LDA, Word2Vec, and SentenceTransformer for text vectorization.
- Utilise various models to evaluate the performance using an ROC curve.
- The differentiation of the content type should be indicated in the 'label' column. The value can be 'question' for sentences that are actually questions, and 'sentence' for regular statements.
- Development of a RESTful API with Flask.
- Dockerization of the API.
Ideal candidates for this project should have:
- Proficiency in python and libraries used for Natural Language Processing.
- Experience in utilizing machine learning models.
- Understanding of RESTful API creation in Flask.
- Hands-on expertise in Docker.
Following features are required:
- TF-IDF, LSA, LDA, Word2Vec, and SentenceTransformer for text vectorization.
- Utilise various models to evaluate the performance using an ROC curve.
- The differentiation of the content type should be indicated in the 'label' column. The value can be 'question' for sentences that are actually questions, and 'sentence' for regular statements.
- Development of a RESTful API with Flask.
- Dockerization of the API.
Ideal candidates for this project should have:
- Proficiency in python and libraries used for Natural Language Processing.
- Experience in utilizing machine learning models.
- Understanding of RESTful API creation in Flask.
- Hands-on expertise in Docker.