- Built-in Library
- Document Classification
- Competitive Analysis
- Audience Analysis
- Segmentation
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MonkeyLearn is text mining software that makes it easy to scrape data and documents, build NLP applications for any language, create powerful online forms with Smart Forms, build a sentiment analysis app using Naive Bayes Classifier, create an anti-spam classifier ... Read More
Built-in libraries are essential components of software that provide a collection of pre-written code, tools, and functions for developers to use in their projects. These libraries are included within the software itself and are readily available for use without the need for any external installation or download. They act as a repository of commonly used or complex functions that can save developers time and effort in writing code from scratch. One of the main benefits of a built-in library is the ease of use it offers. Developers can simply import
Document classification is a software feature that allows users to classify or categorize documents based on their content or metadata. It involves identifying the main topics or themes present in a document and assigning it to a specific category for easy retrieval and organization. One of the main benefits of document classification is its ability to save time and effort in managing large volumes of documents. By grouping similar documents together, users can quickly locate and access the information they need without having to sift through hundreds or thousands of files. Furthermore,
Competitive analysis is a feature that allows businesses to gather information on their competitors in order to gain a deeper understanding of their strengths and weaknesses in the market. It involves assessing various elements that make up a company's strategy, such as product offerings, pricing, marketing methods, and target audience. Through competitive analysis, businesses are able to identify opportunities to differentiate themselves from their competitors and stand out in the market. This can help businesses to stay ahead of the competition and make more informed decisions. One of
Audience analysis is a vital feature of software that helps businesses understand their target audience in a more comprehensive and specific way. It involves collecting and analyzing data related to the audience's demographics, behavior, interests, preferences, and needs. This information is then used to tailor marketing strategies, product development, and customer engagement efforts to effectively connect with the target audience. The audience analysis feature provides businesses with valuable insights into their audience's psychographics, such as their values, attitudes, lifestyles, and beliefs.
Segmentation is dividing a market into separate consumer groups with comparable characteristics. It's an integral aspect of any customer strategy. For example, customer and participant segmentation allows a business to determine which customers are the most profitable and market to them most effectively while still providing excellent service. An organization can then use the information to decide which investments will generate the highest outcomes.
A social media sentiment analysis tells how people on social media feel about your company. Sentiment analysis considers feelings and opinions rather than a basic count of mentions or comments. It entails gathering and evaluating information from people's social media posts about your brand. If you want to understand what your customers are thinking, sentiment analysis is a valuable tool. It allows you to quickly and easily get feedback on your brand, products and services. It makes you better at what you do by seeing what needs to be improved or fixed.
Predictive analysis is a powerful software feature that allows users to forecast future outcomes based on historical data and statistical algorithms. This feature enables businesses to make informed decisions by leveraging data to identify patterns and trends. One of the key functions of predictive analysis is to identify potential risks and opportunities. By analyzing past data, this feature helps organizations to anticipate potential threats and take proactive measures to mitigate them. On the other hand, it also enables businesses to identify future opportunities and capitalize on them to stay ahead of the
Multi-language support is a software feature that enables users to access and interact with the program in multiple languages. This feature makes it possible for the software to be used by individuals from different linguistic and cultural backgrounds. One of the main benefits of multi-language support is its ability to provide a seamless experience for non-native speakers. With this feature, users can navigate the software and understand its content without any language barriers. This is especially helpful for businesses operating on a global scale, as it allows for efficient communication
Starts from $299
Yearly plans
Show all features
Team
$299
/Month
Queries - 10k /month
Custom Models - 3
Workflows - 1 Template Workflow
Seats - 3
Pre-Made models
Integrations - API, CSV, Zapier, Google sheets
Analytics dashboards - 1 Template Dashboard
Support Channels - Email
Business
Queries - Custom Volume
Custom Models - Custom Amount
Workflows - Custom Workflows
Seats - Unlimited
Pre-Made models
Integrations - Custom integrations
Analytics dashboards - Customized Dashboard
BI & Warehouse
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Location
San Francisco, California
MonkeyLearn is text mining software that makes it easy to scrape data and documents, build NLP applications for any language, create powerful online forms with Smart Forms, build a sentiment analysis app using Naive Bayes Classifier, create an anti-spam classifier using Conditional Random Fields, and much more. This Python library allows to analyze text in over 20 languages including English, Spanish, German, French, Chinese and many others.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta