Are there any open source datasets for text classification?

Are there any open source datasets for text classification?

In this article, we list down 10 open-source datasets, which can be used for text classification. The Amazon Review dataset consists of a few million Amazon customer reviews (input text) and star ratings (output labels) for learning how to train fastText for sentiment analysis. The size of the dataset is 493MB. Get the data here.

When is a dataset considered to be imbalanced?

Generally, a dataset for binary classification with a 49–51 split between the two variables would not be considered imbalanced. However, if we have a dataset with a 90–10 split, it seems obvious to us that this is an imbalanced dataset. Clearly, the boundary for imbalanced data lies somewhere between these two extremes.

Can a balanced dataset have no classification bias?

(Left) A balanced dataset with the same number of items in the positive and negative class; the number of false positives and false negatives in this scenario are roughly equivalent and result in little classification bias.

Which is the best dataset for movie classification?

This is a dataset for binary sentiment classification, which includes a set of 25,000 highly polar movie reviews for training and 25,000 for testing. Get the data here. This dataset is a collection of movies, its ratings, tag applications and the users.

Which is the best dataset for data cleaning?

In this article, we list down 10 datasets for beginners, which can be used for data cleaning practice or data preprocessing. Common Crawl is a corpus of web crawl data composed of over 25 billion web pages. For all crawls since 2013, the data has been stored in the WARC file format and also contains metadata (WAT) and text data (WET) extracts.

When do you call a specific version of a dataset?

If the data referenced by your dataset is overwritten or deleted, calling a specific version of the dataset does not revert the change. When you load data from a dataset, the current data content referenced by the dataset is always loaded.

How can I Make my dataset version reproducible?

If you want to make sure that each dataset version is reproducible, we recommend that you not modify data content referenced by the dataset version. When new data comes in, save new data files into a separate data folder and then create a new dataset version to include data from that new folder.

Which is the best dataset to analyze customer reviews?

The dataset that we will be using for this article is from Kaggle ( https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews/home) and is from a Women’s Clothing E-Commerce site revolving around the reviews written by customers. This dataset includes 23486 rows and 10 feature variables.

What are the variables in a product review?

Age: Positive Integer variable of the reviewers age. Title: String variable for the title of the review. Review Text: String variable for the review body. Rating: Positive Ordinal Integer variable for the product score granted by the customer from 1 Worst, to 5 Best.

How are text classifiers used in text classification?

Text classification (a.k.a. text categorization or text tagging) is the task of assigning a set of predefined categories to open-ended text. Text classifiers can be used to organize, structure, and categorize pretty much any kind of text – from documents, medical studies and files, and all over the web.

Which is NLP data set for short text classification?

Switchboard SWBDDAMSL shallow-discourse-function annotation coders manual. Institute of Cognitive Science. Technical Report, pages 97–102. [Janin et al

Which is the best description of a data set?

For the telecommunications interface device, see Modem. A data set (or dataset) is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.

How are data sets generated in statistical analysis?

Data sets may further be generated by algorithms for the purpose of testing certain kinds of software. Some modern statistical analysis software such as SPSS still present their data in the classical data set fashion. If data is missing or suspicious an imputation method may be used to complete a data set.