NLTK Features
What are the features of NLTK?
Algorithm
- Part of Speech Tagging
- Summarization
- Named Entity Recognition
- Sentiment Analysis
- Emotion Detection
- Language Detection
System
- Data Ingestion & Wrangling
- Programming Language Support
- Drag and Drop
- Pre-Built Algorithms
- Customizable Models
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NLTK Categories on G2
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Algorithm
Part of Speech Tagging | Based on 23 NLTK reviews. Gives user ability to parse text by parts of speech | 74% (Based on 23 reviews) | |
Summarization | Based on 19 NLTK reviews. Provides user with a summary of inputted text | 74% (Based on 19 reviews) | |
Named Entity Recognition | Based on 22 NLTK reviews. Gives user ability to parse text by named entities | 73% (Based on 22 reviews) | |
Sentiment Analysis | As reported in 22 NLTK reviews. Outputs the sentiment (positive or negative) of a given text | 73% (Based on 22 reviews) | |
Emotion Detection | Based on 20 NLTK reviews. Provides user with emotion (e.g. sad, happy, etc.) of text | 65% (Based on 20 reviews) | |
Language Detection | As reported in 21 NLTK reviews. Detects language of a given text | 70% (Based on 21 reviews) |
System
Data Ingestion & Wrangling | Gives user ability to import a variety of data sources for immediate use 20 reviewers of NLTK have provided feedback on this feature. | 76% (Based on 20 reviews) | |
Programming Language Support | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript 19 reviewers of NLTK have provided feedback on this feature. | 80% (Based on 19 reviews) | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building language models 16 reviewers of NLTK have provided feedback on this feature. | 64% (Based on 16 reviews) | |
Pre-Built Algorithms | As reported in 20 NLTK reviews. Provides users with pre-built algorithms for simpler model development | 72% (Based on 20 reviews) | |
Customizable Models | Allows user to build custom language models 19 reviewers of NLTK have provided feedback on this feature. | 75% (Based on 19 reviews) |
