Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis

Understand

Sentiment analysis is one of the well-known tasks and fast growing research areas in natural language processing (NLP) and text classifications.

• This technique has become an essential part of a wide range of applications including politics, business, advertising and marketing.
• There are various techniques for sentiment analysis, but recently word embeddings methods have been widely used in sentiment classification tasks.
• Word2Vec and GloVe are currently among the most accurate and usable word embedding methods which can convert words into meaningful vectors.