Natural Language Processing Explained with Twitter Analysis
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Introduction to NLP
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Text analytics is the processes of synthesizing unstructured data to help discover patterns and enable decision making. Until recent years text analytics had to be performed the old fashioned way i.e. eyeballing and manual categorization of text, which is inefficient and time consuming. Also this is not a practice solution when dealing with millions of documents such as twitter data.
Twitter data (also know as tweets) is a rich source of information on a large set of topics. This data can be used to find trends related to a specific keyword, measure brand sentiment or gather feedback about new products and services. This post will provide a step by step guide for text analytics on twitter data.
Arpendu Ganguly
Arpendu is a Data Scientist and has 6+ years of experience in applying ML/DL algorithms and advanced econometric modelling techniques across diverse industrial sectors and multiple geographies to deliver data driven insights and incremental business value.
Data Science Consultant
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Natural Language Processing Explained with Twitter Analysis
START 7 PM - 9 PM
JOIN US ON THE 25.09.2020