| JasonKessler/scattertext |
2,131 |
|
8 |
2 |
over 2 years ago |
148 |
April 18, 2023 |
22 |
apache-2.0 |
Python |
| Beautiful visualizations of how language differs among document types. |
| bothe/EDAs |
22 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
HTML |
| Emotional Dialogue Acts corpus contains dialogue act labels for the multimodal conversational emotion datasets IEMOCAP and MELD. https://www.aclweb.org/anthology/2020.lrec-1.78/ |
| sharmaroshan/Twitter-Sentiment-Analysis |
12 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization |
| sharmaroshan/Restaurant-Reviews-Analysis |
10 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Using Natural Language Processing and Bag of Words for feature extraction for sentiment analysis of the customers visited in the Restaurant and at last using Classification algorithm to separate Positive and Negative Sentiments. |
| sharmaroshan/Employee-Reviews |
7 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments. |
| aniass/Sentiment-analysis-reviews |
6 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM). |
