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Meet up

Intro to Natural Language Processing (NLP)

Tuesday, 23rd July at CodeNode, London

This meetup was organised by Inspiring Women in Data Science in July 2019

Intro to Natural Language Processing (NLP)

Text classification is one of the most important tasks in Natural Language Processing (NLP). The goal of text classification is to automatically classify the text documents into one or more defined categories.

In our previous session Gelareh gave us an introduction on how to use Natural Language Processing (NLP) in Python in order to extract features from some text, so you can use these features as input for machine learning models to build your text classification model .

In this practical session we will focus on sentiment classification as a special task of text classification whose objective is to classify a text according to the sentimental polarities of opinions it contains , e.g. positive or negative.

Gelareh Taghizadeh

Gelareh Taghizadeh is a data scientist at CognitionX. She got her master degree in Artificial Intelligence and is perusing her PhD in the same field. Gelareh has an extensive experience in applying advance machine learning techniques in Natural Language Processing domain such as text classification, entity extraction, anomaly detection, topic modelling and etc. Gelareh has worked for different tech companies to shape their products, where she learns how to solve real business problems and build data science projects from scratch.

Thanks to our sponsors

Attending Members

Overview

Intro to Natural Language Processing (NLP)

Text classification is one of the most important tasks in Natural Language Processing (NLP). The goal of text classification is to automatically classify the text documents into one or more defined categories.

In our previous session Gelareh gave us an introduction on how to use Natural Language Processing (NLP) in Python in order to extract features from some text, so you can use these features as input for machine learning models to build your text classification model .

In this practical session we will focus on sentiment classification as a special task of text classification whose objective is to classify a text according to the sentimental polarities of opinions it contains , e.g. positive or negative.

Gelareh Taghizadeh

Gelareh Taghizadeh is a data scientist at CognitionX. She got her master degree in Artificial Intelligence and is perusing her PhD in the same field. Gelareh has an extensive experience in applying advance machine learning techniques in Natural Language Processing domain such as text classification, entity extraction, anomaly detection, topic modelling and etc. Gelareh has worked for different tech companies to shape their products, where she learns how to solve real business problems and build data science projects from scratch.

Thanks to our sponsors

Who's coming?

Attending Members