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Sample code for potential employers to review. Contribute to robert-boersig/sample_code_2016 development by creating an account on GitHub.
sample_code_2016/scrape_insert_wordpress/company_data_FULL_1468846551.json at master · robert-boersig/sample_code_2016 · GitHub
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Contribute to Meelfy/vnet development by creating an account on GitHub.
vnet/fixtures/2samples.json at master · Meelfy/vnet · GitHub
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Detecting whether a comment can be insulting to a person on a social forum or not. Kaggle challenge. - Detect-Insults-in-Social-commentary/train.csv at master · saynb/Detect-Insults-in-Social-commentary
Detect-Insults-in-Social-commentary/train.csv at master · saynb/Detect-Insults-in-Social-commentary · GitHub
This project is an experiment to find if a tweet is sarcastic and Brown clustering of similar words, topics association with sarcasm - used to generate feature vectors, POS - tagging, n-gram feature vector generation, sentiment analysis of the tweets and scoring based on positivity(negativity) of the words in a tweet to find the mix of positive sentiment and negative actions are some of the techniques used to identify sarcasm. The 'kitchen sink' of a mix of these features helped us achieve close to ~58% accuracy. Languages - JAVA, Python, iPython - NLP_Sarcasm_Detection/normal_tweets.csv at master · deepakkumar-b/NLP_Sarcasm_Detection
NLP_Sarcasm_Detection/normal_tweets.csv at master · deepakkumar-b/NLP_Sarcasm_Detection · GitHub
API that uses a Neural Network to analyze direct messages for cyberbullying. - safengerAPI/train.csv at master · jmerizia/safengerAPI
safengerAPI/train.csv at master · jmerizia/safengerAPI · GitHub