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Twitter Dataset for Arabic Sentiment Analysis Arabic tweets. Samples hand-labeled as positive or negative. 2000 Text Classification 2014 [53] [54] N. Abdulla Buzz in Social Media Dataset Data from Twitter and Tom's Hardware. This dataset focuses on specific buzz topics being discussed on those sites.
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
For example, large datasets based on data extracted from news reports can be built to facilitate social networks analysis or counter-intelligence. In effect, the text mining software may act in a capacity similar to an intelligence analyst or research librarian, albeit with a more limited scope of analysis.
The earliest research into business intelligence focused in on unstructured textual data, rather than numerical data. [8] As early as 1958, computer science researchers like H.P. Luhn were particularly concerned with the extraction and classification of unstructured text. [8]
For example, Google enforced SafeSearch more rigorously in countries with strong internet censorship laws or where governments mandated stricter content control. [ 22 ] [ 23 ] [ 24 ] Some users have stated that the lack of a completely unfiltered option amounts to censorship by Google.