# IMDB Guide

## Introduction

IMDB dataset containing 50K movie reviews for natural language processing. It can be used for binary sentiment classification. 25,000 highly polar movie reviews are provided for training and 25,000 for testing.

In this guide, we will build a classifier model to predict positive and negative reviews.

This guide requires a Tensorleap account. GET THE free trial [**here**](broken://pages/reHfp80krQ2R6gWEaNyr) if you do not have one yet.

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For more information on the IMDB dataset, see <http://ai.stanford.edu/~amaas/data/sentiment/>.
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## What This Guide Covers

This guide is designed to get you started quickly with Tensorleap. We recommend that you go through its sections in order, since each section depends on the previous one.

* [**IMDB Dataset Integration**](/guides/full-guides/imdb-guide/dataset-integration.md)
* [**Model Integration**](/guides/full-guides/imdb-guide/model-integration.md)
* [**Model Perception Analysis**](/guides/full-guides/imdb-guide/model-perception-analysis.md)
* [**Advanced Metrics**](/guides/full-guides/imdb-guide/advanced-metrics.md)

Our [**Platform**](/user-interface.md) documentation for the Tensorleap user interface (UI) and Command Line Interface (CLI) may prove useful when going through this guide.

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This is also applicable to Tensorleap's **On-Premise** solution, which lets you run our platform on an isolated machine.
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## Get Started

Ready to get started? Go to [**Dataset Integration**](/guides/full-guides/imdb-guide/dataset-integration.md).


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