NLP technique Sentiment Analysis using Python | Event in NA | Townscript
NLP technique Sentiment Analysis using Python | Event in NA | Townscript

NLP technique Sentiment Analysis using Python

Jul 29 '21 | 12:30 PM (IST)
TS Live

Event Information

Sentiment Analysis – One of the most popular projects in the industry. Every customer-facing industry (retail, telecom, finance, etc.) is interested in identifying their customers’ sentiment, whether they think positive or negative about them.
Python sentiment analysis is a methodology for analyzing a piece of text to discover the sentiment hidden within it. It accomplishes this by combining machine learning and natural language processing (NLP). Sentiment analysis allows you to examine the feelings expressed in a piece of text.
About Sentiment Analysis
In this machine learning project, we build a binary text classifier to classify the sentiment behind the text. We use the various NLP preprocessing techniques to clean the data and utilize the LSTM layers to build the text classifier.
Python Sentiment Analysis Dataset
The dataset contains more than 14000 tweets data samples classified into 3 types: positive, negative, neutral

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Joined on Apr 13, 2018
About
Dr Neeta Gulati is a Data Scientist, and corporate coach in Data Science, Python & Machine Learning; she is Meticulous, versatile, ability to quickly grasp, interpret, render concepts to the audience in an energy-driven, impactful learning way that translates lessons into action.
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