https://github.com/aaaastark/twitter_sentiment_analysis

Twitter Sentiment Analysis
https://github.com/aaaastark/twitter_sentiment_analysis

csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis

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Twitter Sentiment Analysis

• Host: GitHub
• URL: https://github.com/aaaastark/twitter_sentiment_analysis
• Owner: aaaastark
• Created: 2021-08-27T04:03:09.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-08-27T04:25:21.000Z (over 3 years ago)
• Last Synced: 2024-11-15T06:36:22.357Z (2 months ago)
• Topics: csv, database, machine-learning, matplotlib, numpy, pandas, python, python3, sentiment-analysis, sklearn, tensorflow, text-classification, twitter, twitter-sentiment-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 2.93 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# **Twitter_Sentiment_Analysis**

# Machine learning  (Python)                                                                                                    august,26,2021

**Twitter Sentiment Analysis**

* Sentiment analysis, also referred to as opinion mining or emotion extraction is the classification of emotions within a textual data. 

* Twitter is a social media platform that has been mostly used by people to express emotions for particular events.

* We have collected tweets for a number of events, analyzed them using a number of Machine Learning algorithms like Naïve Bayes, SVM, Random Forest classifier and LSTM and compared the results.

**Project Pipeline**

* Import Necessary Dependencies, Necessary Setting, Read and Load the Dataset, Pre-Process dataset, Split train and test, Word2Vec, Tokenize Text, Label Encoder, Embedding layer, Build Model, Compile model, Callbacks, Train, Evaluate, Predict, Confusion Matrix, Classification Report, Accuracy Score and Save model.

**Python Libraries and Dataset**

* Sklearn, Keras, Pandas, Gensim, Seaborn, Scipy, NLTK, Matplotlib, Numpy, Pickle.  Sentiment140 Dataset (.csv) which consists of 1,600,000 tweets