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“My work is the beauty of Paris, the life of New York.”

Frédéric Malle: The First Twenty Years: open book

Code for ACL 2018 paper "Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction" - DE-CNN/data/prep_data/word_idx.json at master · howardhsu/DE-CNN

DE-CNN/data/prep_data/word_idx.json at master · howardhsu/DE-CNN · GitHub

Purchasing one of the Best French Cologne For Men is strong enough to give you feelings of elegance, pleasure as well as a great smell and performance. Here I

Best French Cologne For Men [Top 5 Picks]

Homework assignments for Computational Linguistics I - cl1-hw/dan/data/question_train_cl1.json at master · Pinafore/cl1-hw

cl1-hw/dan/data/question_train_cl1.json at master · Pinafore/cl1-hw · GitHub

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

Code for stock movement prediction from tweets and historical stock prices. - stocknet-code/res/vocab.txt at master · yumoxu/stocknet-code

stocknet-code/res/vocab.txt at master · yumoxu/stocknet-code · GitHub

Old formula vs new formula vs fake? (JPG La Fleur Du Male) (Page 1) — New to the World of Fragrance — Fragrantica Club — Perfume Lovers Online Club

Old formula vs new formula vs fake? (JPG La Fleur Du Male) (Page 1) — New to the World of Fragrance — Fragrantica Club

The Broad Twitter Corpus, an NER dataset in English stratified for time, location, social media genre, socioeconomic factors (COLING 2016) - broad_twitter_corpus/b.crowd-raw/bc-all.cfjson at master · GateNLP/broad_twitter_corpus

broad_twitter_corpus/b.crowd-raw/bc-all.cfjson at master · GateNLP/broad_twitter_corpus · 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

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