Tools Used For NLP
1. IBM Watson
IBM Watson NLP is a tool that has major capabilities which allow you to detect, and extract keywords, emotions, entities, and various other factors.
2. Core NLP
It is a powerful and quick annotator for discretionary text that is widely used in production. It is largely Java based.
3. Spacy
It is a pre-trained statistical model as well as a word vector. It is a python compatible language. It enables tokenization for more than 49 languages.
4. AllenNLP
It is a sophisticated prototype tool with text-processing features. This tool, when compared to Spacy is not that much used in terms of manufacturing but is used vividly in terms of research analysis.
5. NTLK
It offers a complete set of programs and modules to analyze data in the form of statistical and symbolic analysis using Python. It is one of the most important tools in NLP.
6. GPT- 3
A very trendy tool created by open AI that helps auto-completing and auto-generating the sentence on its own which is vividly used in the aspect of text prediction.
7. Monkey Learn
It is a simple tool that aids in the extraction of important insights from our data and helps in text analysis such as keyword analysis, etc.
8. Text blob
It is a tool that helps in analyzing segmentation, tokenization, word paraphrasing, translation, speech tagging, etc.
The Future of Natural Language Processing: Trends and Innovations
There are no reasons why today’s world is thrilled to see innovations like ChatGPT and GPT/ NLP(Natural Language Processing) deployments, which is known as the defining moment of the history of technology where we can finally create a machine that can mimic human reaction. If someone would have told you that there is a machine a few years back then no one would have believed you. But now here we have chatGPT which can construct anything within everything.