Top Sources Of Sentiment Analysis Datasets

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Top Sources Of Sentiment Analysis Datasets


Overview To train a sentiment analysis model, we need machine learning techniques to help the model learn data patterns from specialized sentiment analysis datasets. Powered by artificial intelligence, when the sentiment analysis model is trained on these datasets, it knows how to behave when presented with new data in a similar vein. If you are a company in the hospitality industry, you will need a model that has been trained on datasets that are collected and tagged from the hospitality industry. And so is the case with all industry verticals. Such datasets need to be very wide in their scope of sentiment analysis applications and business cases. An efficiently trained sentiment model that can accurately analyze sentiment from text as well as videos, through video content analysis, is an invaluable asset for business intelligence. It can help you gain customer insights from not only reviews and surveys but also social platforms like YouTube, TikTok, Facebook, etc.


Why Is Sentiment Analysis Important For Business? Sentiment analysis is important to all marketing departments for brand insights. It is used for social media monitoring, brand reputation monitoring, voice of the customer (VoC) data analysis, market research, patient experience analysis, and other functions. Sentiment analysis features employ the use of natural language processing (NLP) tasks and named entity recognition (NER) to identify and categorize entities and topics present in the data. With an aspect-based sentiment analysis (ABSA) approach, companies can find extremely fine-grained insights from all sources of data for insights such as patient notes, EMRs, customer call logs, etc.


Which are the top sentiment analysis datasets for machine learning? Here are some top sentiment analysis datasets on various specialties and industries. They are free for download. 1.

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Amazon product data: This dataset has amazon product reviews and metadata including 142.8 million reviews spanning May 1996 to July 2014. It has reviews including ratings, text, and helpfulness votes. Product metadata includes descriptions, brand, category, price, and image features. The dataset also has links to views and purchase graphs. OpinRank Review Dataset for hotels and cars: This is one of those rare sentiment analysis datasets that has complete reviews on both the automotive and the hotel industries. It has 2,59,000 hotel reviews and 42,230 car reviews collected from TripAdvisor and Edmunds, respectively. Details include dates, favorite hotels and car models, user names, and the full review in text. The dataset contains information from 10 different cities including Dubai, Beijing, Las Vegas, and San Fransisco.


Which are the top sentiment analysis datasets for machine learning? 3. Yelp Dataset: This dataset contains 5.2 million Yelp reviews with star ratings, businesses, reviews, and user data. It was part of the Yelp Dataset Challenge for students to conduct research or analysis on Yelp’s social media listening data. The dataset has information about businesses across 8 metropolitan areas in North America. 4. Stanford Sentiment Dataset: This dataset gives you recursive deep models for semantic compositionality over a sentiment treebank. It has more than 10,000 pieces of Stanford data from HTML files of Rotten Tomatoes. 5. Cornell Movie Review Dataset: This sentiment analysis dataset contains 2,000 positive and negatively tagged reviews. It also has more than 10,000 negative and positive tagged sentence texts.


Finding The Right Sentiment Analysis API Repustate’s sentiment analysis platform has been trained on sentiment analysis datasets in multiple industries. The engine processes millions of reviews per day for hundreds of clients across the globe. It enables real-time social media sentiment analysis and does so in 23 languages, natively. It provides topic-driven and aspect-based sentiment analysis and has a processing speed is 1,000 reviews per second. Highly customizable and scalable, Repustate’s sentiment analysis API has been instrumental in supporting companies across industries in their business endeavors. From helping AARP develop a brand new diet program, to providing vital information to the Kingdom of Saudia Arabia in its healthcare plan, our solution helps you keep score of about each aspect of your business. Read some of our other customer success stories.


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