Enhancing Text Analysis with Advanced Algorithms #75
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Thank you for submitting your pull request! We'll review it as soon as possible. For further communication, join our discord server https://discord.gg/tSqtvHUJzE. |
Avdhesh-Varshney
requested changes
Jul 24, 2024
Avdhesh-Varshney
added
bug 🐛
Okie, i will make proper changes today itself. (Edit) All the changes have been made properly |
Avdhesh-Varshney
approved these changes
Jul 25, 2024
Avdhesh-Varshney
added
Approved ✔️
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Closes: #73
Describe the add-ons or changes you've made 📃
I have integrated two powerful algorithms, TF-IDF (Term Frequency-Inverse Document Frequency) and Word2Vec, to enhance the text analysis capabilities of the project. TF-IDF helps in identifying important words in a document relative to the entire corpus, while Word2Vec captures the semantic meanings of words through vector representations. This combination will improve the accuracy and depth of text analysis in natural language processing tasks.
Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
I have verified the changes by running several test cases on different datasets to ensure that the integration of TF-IDF and Word2Vec algorithms works correctly. The tests included various text analysis tasks such as keyword extraction, similarity measurement, and semantic analysis. All tests passed successfully, and the new functionality performs as expected without any issues.
Checklist: ☑️
Note to reviewers 📄
I have thoroughly tested the new feature and ensured that it integrates seamlessly with the existing codebase. Please review the changes and let me know if any further modifications are needed. Thank you for your time and consideration.