-
-
Notifications
You must be signed in to change notification settings - Fork 213
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
New BRICS Member Sentiment Analysis issue-518
- Loading branch information
Showing
21 changed files
with
3,037 additions
and
0 deletions.
There are no files selected for viewing
Large diffs are not rendered by default.
Oops, something went wrong.
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
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,34 @@ | ||
**Dataset Description** | ||
|
||
Explore the global sentiment surrounding the expansion of the BRICS alliance with our comprehensive sentiment analysis dataset. This dataset captures the public's reactions and opinions on the inclusion of six new member nations into the BRICS coalition. By analyzing this dataset, you will gain valuable insights into how people perceive and respond to the changing dynamics within this influential group of nations. | ||
|
||
**Key Features:** | ||
|
||
Diverse Opinions: Understand the wide range of public sentiments, from positive endorsements to critical viewpoints, reflecting the multifaceted nature of international relations. | ||
Emotional Reactions: Delve into the emotions expressed by individuals in their comments, providing a deeper understanding of the public mood. | ||
Public Discourse: Analyze the impact of the BRICS expansion on public conversations, revealing how international events shape public opinion. | ||
Data Collection: | ||
The comments have been labeled based on the number of likes they received, offering a community-driven perspective on sentiment. This approach highlights the most engaging and impactful comments, ensuring that the analysis reflects the collective voice of the global community. | ||
|
||
**About This File** | ||
|
||
This dataset contains the following columns: | ||
|
||
textDisplay: The actual text of the comment. | ||
|
||
likeCount: The number of likes the comment received. | ||
|
||
label: The sentiment label, derived from the like count. | ||
|
||
**Sample Comments:** | ||
|
||
Here are a few sample comments from the dataset: | ||
|
||
"hurray for Brics nation, I hope this changes the World Economic Order!" - 0 likes | ||
"BRICS are modern Axis Powers😂" - 0 likes | ||
|
||
|
||
This dataset is an invaluable resource for researchers, analysts, and anyone interested in the public's perception of international alliances and their evolving dynamics. By exploring this dataset, you'll uncover the diverse range of opinions, emotions, and reactions that define the public discourse on this significant global event. | ||
|
||
|
||
For more details and to access the dataset, visit the [Kaggle page](https://www.kaggle.com/datasets/syedali110/6-new-brics-members-sentiment-analysis). |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
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
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,52 @@ | ||
**Images Folder** | ||
|
||
The images folder contains various visualizations generated during the exploratory data analysis (EDA) and model evaluation phases. These visualizations provide valuable insights into the dataset and the performance of the sentiment analysis models. Below is a detailed description of the contents: | ||
|
||
**1. Label Distribution** | ||
Label Distribution: | ||
This graph illustrates the distribution of sentiment labels in the dataset. It provides insights into the balance of the dataset and whether there are any imbalances that need to be addressed during model training. | ||
<img width="551" alt="distribution" src="https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/668790d5-2e8e-4137-84df-c160c3e0d014"> | ||
|
||
|
||
**4. Like Count Graph** | ||
Like Count Distribution: | ||
This graph shows the distribution of like counts across comments. It helps in understanding the engagement level of the comments and identifying any skewness in the data. | ||
<img width="515" alt="likecount" src="https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/f15f116d-e44e-4eb1-ada0-a6b11db14d25"> | ||
|
||
|
||
**3. Word Cloud** | ||
Word Cloud: | ||
The word cloud is a visual representation of the most frequent words in the dataset. It highlights the key terms used in the comments, giving a quick overview of the prominent themes and topics discussed. | ||
<img width="605" alt="wordcloud" src="https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/854460be-7fe0-4379-b5ac-9c692eb41b11"> | ||
|
||
**1. Model Outputs** | ||
|
||
Stacking Classifier Confusion Matric | ||
|
||
![stacking_classifier_confusion](https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/b1248a61-8287-4e88-8cde-7a28540ab9f4) | ||
|
||
Simple Neural Network | ||
|
||
![simple_neural_network_output](https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/8f8c82b6-bb62-41b1-87d1-6be04fb49db1) | ||
|
||
MLP | ||
|
||
![mlp_output](https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/3224f2e4-6644-4477-8c73-c0d00bec9d05) | ||
|
||
LSTM | ||
|
||
![lstm_output](https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/c04c1790-0a4d-4781-818c-e4906dfd71a1) | ||
|
||
LightGBM | ||
|
||
![LightGBM_output](https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/214e57e6-a4ec-4be4-b724-4b4b8c5fe44a) | ||
|
||
Advance Stacking Output | ||
|
||
![advance_stacking_output](https://github.com/tanuj437/BRICS-Sentiment-Analysis/assets/128210429/30ad821d-a155-4e2f-aafc-1d550e21cc84) | ||
|
||
|
||
|
||
|
||
|
||
|
Binary file added
BIN
+14.6 KB
New BRICS Member Sentiment Analysis/Images/advance_stacking_output.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file added
BIN
+37.3 KB
New BRICS Member Sentiment Analysis/Images/simple_neural_network_output.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file added
BIN
+14.3 KB
New BRICS Member Sentiment Analysis/Images/stacking_classifier_confusion.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file not shown.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Oops, something went wrong.