IBM Watson
One of the common AI tools for NLP is IBM Watson the service developed by IBM for NLP for comprehension of texts in various languages. It is accurate an highly focused on transfer learning and deep learning techniques.
Features:
- It uses machine learning and Watson Assistant as a chat box.
- It is a blockchain technology with an emphasis on protection standards.
- It helps in understanding concepts, extracting metadata, and other concepts.
Pros:
- It is used to process unstructured data contrary to human limitations.
- It also helps in decision-making and analysis systems for available data.
- It has the advantage of sustainability and competitive quantities of data.
Cons:
- It requires a lot of maintenance and continued human checks.
- It requires a lot of steps for structuring data, it is not direct.
- It has limited resources and is seen as a disruptive technology.
Pricing:
- Pay-as-you-go account, 50 free products.
- Payment for only used products.
Top 12 AI Tools for NLP (Natural Language Processing ): 2024
Natural Language Processing (NLP) is a form of computation concerned with free AI Tools for NLP whereby any form of signal, statistics, or machine learning program from human language combines them into text or voice data.
AI Tools for NLP perform a set of functionalities such as processing data on its own and understanding the context with the generation of data as well. It is a collection of linguistic data, breaking down texts into readable forms or tokens by assigning grammatical tokens and thus performing a running analysis.
There are certain AI Tools for NLP to perform such tasks which we are discussing in this article best AI Tools for NLP along with their features, pros & cons, etc.