Text mining and Natural Language Processing (NLP) are among the many most lively analysis areas. Pre-processing your textual content information earlier than feeding it to an algorithm is a vital a part of NLP. In this course, you’ll be taught NLP utilizing pure language toolkit (NLTK), which is a part of the Python. You will be taught pre-processing of knowledge to make it prepared for any NLP utility.
We undergo textual content cleansing, stemming, lemmatization, a part of speech tagging, and cease phrases elimination. The distinction between this course and others is that this course dives deep into the NLTK, as a substitute of instructing the whole lot in a quick tempo.
This course has three part. In the first part, you’ll be taught the definition of NLP and its functions. Additionally, you’ll discover ways to set up NLTK and study its parts.
In the second part, you’ll be taught the core features of NLTK and its strategies and strategies. We look at totally different accessible algorithms for pre-processing textual content information.
In the final part, we are going to construct three NLP functions utilizing the strategies we learnt within the earlier part.
Specifically, we are going to undergo growing a matter modeling utility to determine subjects in a big textual content. We will determine predominant subjects mentioned in a big corpus.
Then, we are going to construct a textual content summarization utility. We will educate the pc to summarize the big textual content and to summarize the details.
The final utility is about sentiment evaluation. Sentiment evaluation in Python is a very fashionable utility that can be utilized on number of textual content information. One of its functions is Twitter sentiment evaluation. Since tweets are brief piece of textual content, they’re very best for sentiment evaluation. We will undergo constructing a sentiment evaluation system within the final instance.
Finally, we examine NLTK with SpaCy, which is one other in style NLP library in Python. It’s going to be a really thrilling course. Let’s begin studying.