Textplorer
Textplorer is a text analysis software that allows users to upload texts and analyze them to reveal insights. It provides features like keyword extraction, sentiment analysis, topic modeling, and more.
text-analysis
sentiment-analysis
keyword-extraction
Textplorer: Advanced Text Analysis Software
Textplorer offers text analysis features such as keyword extraction, sentiment analysis, and topic modeling for users to uncover valuable insights from their uploaded texts.
What is Textplorer?
Textplorer is a comprehensive text analysis software designed to help users gain insights from textual data. It supports uploading texts of all formats and sizes to analyze them through various AI-powered functionalities.
The key features of Textplorer include:
- Keyword extraction to automatically identify important terms and phrases
- Sentiment analysis to determine if a text conveys positive, negative or neutral sentiment
- Topic modeling to reveal latent topics and concepts discussed in the texts
- Summarization to create concise overviews preserving key information
- Comparison analysis to contrast multiple texts side-by-side
- Visualizations like word clouds, charts and graphs to easily interpret analysis
- Customizable reports that can be exported as PDFs or PPTs
Textplorer utilizes state-of-the-art natural language processing and machine learning algorithms under the hood to deliver accurate and nuanced analysis. It can process texts in over 20 languages. The software has an intuitive drag-and-drop interface, requiring no complex setup or data science skills.
It is used by market researchers, content strategists, academics, publishers and other professionals working with textual data. Textplorer integrates seamlessly with business intelligence and data visualization tools through APIs. Pricing plans are available for individuals, small teams and enterprises.
Textplorer Features
Features
- Keyword extraction
- Sentiment analysis
- Topic modeling
- Text summarization
- Language detection
- Readability scores
- Text analytics
- Data visualization
- Customizable dashboards
- Collaboration tools
- Integrations with other apps
Pricing
- Subscription-Based
Pros
In-depth text analysis capabilities
Intuitive and easy to use interface
Visualizations and dashboards to easily view insights
Collaboration features allow team members to work together
Integrates with other software and apps
Can analyze text in different languages
Provides valuable insights from textual data
Cons
Can be expensive for some small teams or individuals
Requires uploading data to the cloud which raises some privacy concerns
Advanced features like custom models require technical expertise
Not meant for analyzing extremely large datasets
Limited customization compared to open source options
Official Links
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