Need Datasets for Natural Language Processing? Look no further !

A concept that aims to understand the mechanism behind programming computers to process and analyze large amounts of natural language data, tends to yield a massive field of research . Exploring such a diverse area tends to not only be a challenging situation for those navigating through it but also sometimes it’s difficult to even know how to take the first step into the search for data .

So, In hopes of easing you into the world of natural language processing, we’ve combined a list of online NLP datasets that cover a wide arrange of topics.

Discover Applications of NLP- Natural Language Processing

NLP datasets

Let’s see a list of NLP Datasets that can help you decipher the plethora of information available online .

Datasets for Sentiment Analysis

Refer to the use of natural language processing to identify, extract, quantify & study affective states & subjective information; all which point to the need for a large, specialized dataset . So, what are some of the datasets that can help you do that?

Stanford Sentiment Treebank — home to over 10,000 clips from Rotten Tomatoes , Stanford’s dataset is to help identify sentiment in longer phrases i.e. get the system accustomed to detailed data .

Multidomain Sentiment Analysis Dataset — despite being an older dataset, it offers many product reviews taken from Amazon that help with the provision of diverse data .

IMDB Reviews –like Stanford’s treebank, this dataset consists of over 25,000 movie reviews that are useful for a rather binary classification use .

Text Datasets

Not only are these datasets easier to access, but they are also easier to input and use for natural language processing tasks about the inclusion of chatbots and voice recognition .

The Blog Authorship Corpus — with over 681,000 posts written by over 19,000 independent bloggers, this dataset is home to over 140 million words; which on its own poses it as a valuable dataset .

UCI’s Spambase — a creation of the team at Hewlett-Packard, this dataset consists of a wide array of spam email that can be in use to create personalized spam filters .

The WikiQA Corpus — one of the most accessible collections of questions/answers, this dataset is for research purposes in the domain of question answering but has now become a public depository for anyone concerned with natural language processing .

Wordnet — a product of researchers at Princeton University, Wordnet offers a large database consisting of synonyms in the English language with each describing a unique concept .

Yelp Reviews — available for public, this dataset contains millions of reviews received by Yelp over the years………………..

Read Full Story at https://autome.me on August 12, 2020.