{"id":246523,"date":"2022-02-17T09:38:52","date_gmt":"2022-02-17T09:38:52","guid":{"rendered":"https:\/\/imarticus.org\/?p=246523"},"modified":"2022-02-17T09:38:52","modified_gmt":"2022-02-17T09:38:52","slug":"heres-how-to-develop-a-nlp-model-in-python","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/heres-how-to-develop-a-nlp-model-in-python\/","title":{"rendered":"Here’s how to develop a NLP model in Python"},"content":{"rendered":"

NLP or Natural Language Processing is one of the most focused upon learning models in modern times. This is especially due to how popular chatbots, sentiment analytics, virtual assistants, and translation tools have become. NLP empowers machines with the ability to process, understand and get meaning out of textual data, speech, or human language in general. <\/span><\/p>\n

NLP allows other applications or programs to use human language. For example, the NLP model that powers Google understands what the user is searching for and fetches the results accordingly. <\/span>Python online training<\/span> can definitely help when one wishes to delve into NLP.<\/span><\/p>\n

NLP models go much further than just finding the exact type of information and can also understand the context of the search or the reason and fetch similar or related results as well. NLP-powered machines can now identify the intent and sentiment behind the human language.<\/span><\/p>\n

Developing Learning Models in Python<\/span><\/h2>\n

Python is a great language to use for NLP models as one can take the help of the NLTK package. The Natural Language Toolkit is an NLP package for Python. Additionally, you can also install the Matplotlib and NumPy libraries in order to create visualizations. <\/span><\/p>\n

First, you need to have <\/span>Python 3.5<\/span><\/a> or any of the later versions installed. After this, you must use pip install for installing packages such as NLTK, LXML, sklearn. If you decide to work with random data, you must first preprocess the data. You can use the NLTK library for text preprocessing and then carry on with analyzing the data.\u00a0<\/span><\/p>\n

Here are the 4 steps involved in developing a learning model using Python:<\/b><\/p>\n