Text classification with Sparse Composite Document Vectors.

使用OpenMP及MPI完成的几个并行程序设计小实验：矩阵相乘、矩阵LU分解、文档分类中的文档向量过程

Tweets Sentiment Analysis Project to classify the the polarity of tweets either as ‘Positive’, ‘Negative’, and ‘Neutral' with high accuracy

Performs tokenization, stemming, lemmatization, index creation, index compression and ranked retrieval of Cranfield documents

Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.

dvg, a cli document-vector grep tool.

Use of word embeddings to classify sentiments of sentences and automatically attach emojis