Check the similar words using Text Embedding feature by Huawei ML Kit in Android (Kotlin)

Introduction

In this article, we can learn how to check similar words and sentences using Text Embedding feature of Huawei ML Kit. This Huawei ML Kit provides Text Embedding feature which helps to get matching vector value of words or sentences. Using this feature, we can improve our research based on the result. It provides similarity between two words or sentences and similar words of a particular word searched. We can also improve searching and browsing efficiency using after getting results related to search text.

Use Cases

This service can be used in text search scenarios. A user can enter a keyword in your news app to return hot news related to the word, improving the search and browsing efficiency.

Precautions

Text embedding depends on the on-cloud API for recognition. During commissioning and usage, ensure that the device can access the Internet.

Requirements

1. Any operating system (MacOS, Linux and Windows).

2. Must have a Huawei phone with HMS 4.0.0.300 or later.

3. Must have a laptop or desktop with Android Studio, Jdk 1.8, SDK platform 26 and Gradle 4.6 and above installed.

4. Minimum API Level 21 is required.

5. Required EMUI 9.0.0 and later version devices.

How to integrate HMS Dependencies

1. First register as Huawei developer and complete identity verification in Huawei developers website, refer to register a Huawei ID.

2. Create a project in android studio, refer Creating an Android Studio Project.

3. Generate a SHA-256 certificate fingerprint.

4. To generate SHA-256 certificate fingerprint. On right-upper corner of android project click Gradle, choose Project Name > Tasks > android, and then click signingReport, as follows.

Note: Project Name depends on the user created name.

5. Create an App in AppGallery Connect.

6. Download the agconnect-services.json file from App information, copy and paste in android Project under app directory, as follows.

7. Enter SHA-256 certificate fingerprint and click Save button, as follows.

Note: Above steps from Step 1 to 7 is common for all Huawei Kits.

8. Click Manage APIs tab and enable ML Kit.

9. Add the below maven URL in build.gradle(Project) file under the repositories of buildscript, dependencies and allprojects, refer Add Configuration.

10. Add the below plugin and dependencies in build.gradle(Module) file.

11. Now Sync the gradle.

12. Add the required permission to the AndroidManifest.xml file.

Let us move to development

I have created a project on Android studio with empty activity let us start coding.

In the MainActivity.kt we can find the business logic for buttons.

In the WordSimilarActivity.kt we can find the business logic for similar words.

Create a class for analyzer UtilForAnalyzer.kt.

In the SentenceSimilarActivity.kt we can find the business logic for similar sentence.

In the SimilarWordsActivity.kt we can find the business logic for similar words count.

In the activity_main.xml we can create the UI screen.

In the activity_word_similar.xml we can create the UI screen for sentences.

In the activity_sentence_similar.xml we can create the UI screen for sentences.

In the activity_similar_words.xml we can create the UI screen for words count.

Demo

Tips and Tricks

1. Make sure you are already registered as Huawei developer.

2. Set minSDK version to 21 or later, otherwise you will get AndriodManifest merge issue.

3. Make sure you have added the agconnect-services.json file to app folder.

4. Make sure you have added SHA-256 fingerprint without fail.

5. Make sure all the dependencies are added properly.

Conclusion

In this article, we can learn how to check similar words and sentences using Text Embedding feature of Huawei ML Kit. This Huawei ML Kit provides Text Embedding feature which helps to get matching vector value of words or sentences. Using this feature, we can improve our research based on the result. It provides similarity between two words or sentences and similar words of a particular word searched. We can also improve searching and browsing efficiency using after getting results related to search text.

I hope you have read this article. If you found it is helpful, please provide likes and comments.

Reference

ML Kit — Text Embedding

ML Kit — Training Video