The artificial intelligence and machine learning of the internet and electronics are discussed in NLP or natural language processing. It enables machines or robots to understand human languages and learn from their behavior. Natural language processing is a complex activity requiring flawless processes and procedures. Given that, you will need natural language processing (NLP) software. 


10+ Natural Language Processing (NLP) Software

1. Grooper

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Rating: 5/5

Price: Custom

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2. RapidMiner

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Rating: 4.6/5

Price: Free

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3. Brandwatch

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Rating: 4.5/5

Price: $1000/Month

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4. MonkeyLearn

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Rating: 4.8/5

Price: $299/month

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5. NLP Cloud

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Rating: 4.5/5

Price: $29/Month

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6. CoreNLP

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Rating: 4.3/5

Price: Free

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7. MeaningCloud

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Rating: 4.6/5

Price: $99/Month

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8. Stratifyd

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Rating: 5/5

Price: Custom

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9. Qemotion

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Rating: 4.3/5

Price: $120/Month

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10. Repustate

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Rating: 5/5

Price: $299/Month

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11. Rulai

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Rating: 4.5/5

Price: Custom

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What is Natural Language Processing Software?

Due to the modern era, individuals and the professional industry operate in the digital world. Every day we use the internet with intelligent virtual assistants, chatbots, and other digital methods to gather data to answer your questions. These factors are included in natural language processing. It is a system that collects data regarding human speech and behaviors to mimic them, therefore, have better communication between humans and machines. However, natural language processing has complex processes and procedures. That is why experts developed natural language processing software to help developers analyze and gather data. It automates workflow, acts as reminders, notifies alerts, and more. NLP software has the features and functionalities you need. 

Benefits

As we all know, traditional methods are not enough to accomplish developer tasks. The modern era requires technological instruments to process and complete. Manual processes are prone to errors and overlook leading to complications. With NLP software on hand, you can receive multiple benefits and advantages, including accurate data analytics, reducing costs, saving time, and minimizing manual processes. 

Features

Before buying the software you want, you will need to analyze the software’s capabilities first. Multiple technology firms that developed NLP software have similar and different features and functionalities that you might like and not. Software is helpful. However, not all platform provides the promise they promised. What is more, they are expensive. That is why it is essential to research to evaluate the software’s performance and ensure you choose the best software for your company. That way, you can avoid wrong investments. The following are features you might need:

Top 10 Natural Language Processing Software

1. Brandwatch

Brandwatch includes audience targeting, campaign management, conversion tracking, response management, and more logical features. Brandwatch has annual revenue of $84.1 million and 639 employees.

2. RapidMiner

RapidMiner includes data extraction, process change tracking, statistical analysis, machine learning, and more valuable features. RapidMiner has annual revenue of $17 million and 103 employees.

3. Stratifyd

Stratifyd includes call recording, visual analytics, real-time data, third-party integration, and more contributive features. Stratifyd has annual revenue of $11.9 million and 71 employees.

4. Grooper

Grooper includes address validation, approval process control, data discovery, cash management, and more advanced features. Grouper has annual revenue of $6 million and 33 employees.

5. NLP Cloud

NLP Cloud includes sentiment analysis, tagging, machine learning, part of speech tagging, and more innovative features. NLP Cloud has annual revenue of more than $5 million and more than 25 employees.

6. CoreNLP

IT teams can use CoreNLP from Stanford NLP Group to classify unstructured data according to business needs, perform content tokenization and phrase segmentation, and assess text sentiments. Stanford NLP Group has more than $5 million and more than 25 employees.

7. Repustate

Repustate includes campaign analytics, language detection, survey/poll management, text analysis, and more valuable features. Repustate has annual revenue of more than $5 million and 26 employees.

8. MeaningCloud

MeaningCloud includes graphical data presentation, predictive modeling, language detection, tagging, and more advanced features. MeaningCloud has annual revenue of $4.5 million and 31 employees.

9. Rulai

Rulai is a conversational AI platform that uses NLP and AI to help businesses deploy virtual assistants across a variety of use cases. Rulai has annual revenue of $4.2 million and 30 employees.

10. MonkeyLearn

MonkeyLearn includes language detection, process/workflow automation, machine learning, speech recognition, and more advanced features. MonkeyLearn has annual revenue of $3.9 million and 28 employees.

FAQs

Why is artificial intelligence crucial?

Artificial intelligence plays a critical role in the world. Artificial intelligence is one of the causes that people depend on electronics and the internet. It is a feature that allows web applications and mobile apps to process what end-users request and command. Artificial intelligence is the core of the technology as it thinks like a human but is more developed.

Why do you need machine learning?

Machine learning plays a critical role in digital marketing. It helps eCommerce study the market’s behavior and gather data to improve advertising strategies and reach the right customers. It is a partner system of artificial intelligence enabling enterprises to develop business and improve customer experience. Machine learning reduces costs from advertising to random audiences.

Why do people operate digitally?

The digital world has become an integral part of people’s daily lives, whether for personal or professional reasons. The business industry, as well as other industries, can profit from digital operations in a variety of ways. It helps with supply chain management, manufacturing, enterprise resource planning, and other aspects of production. For this reason, digital tools are one of the highest valuable assets in the world.

Natural language processing has an impressive contribution to the digital world. However, it takes millions of data and a splendid amount of time to develop them. It has complexities you need to overcome to ensure you meet your goal. That is why it is wise to use natural language processing software to aid you in every critical factor. It untangles complexities, boosts productivity speed, and ensures striking results. 


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