Dataset Card for Dataset Name

  Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

  Supported Tasks and Leaderboards

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  Languages

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  Dataset Structure





  Data Instances

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  Data Fields

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  Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset.

Dataset

This dataset contains positive , negative and notr sentences from several data sources given in the references. In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence. For such cases there were no data I could find. Therefore I created this dataset with 3 class. Positive and negative sentences are listed below. Notr examples are extraced from turkish wiki dump. In addition, added some random text… See the full description on the dataset page: https://huggingface.co/datasets/winvoker/turkish-sentiment-analysis-dataset.

Dataset Card for [Dataset Name]

  Dataset Summary

The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language. The corpus is based on the dataset introduced by Pang and Lee (2005) and consists of 11,855 single sentences extracted from movie reviews. It was parsed with the Stanford parser and includes a total of 215,154 unique phrases from those parse trees, each… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/sst2.

Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for sentiment classification. For more detailed information please refer to the paper.

Dataset Card for amazon reviews for sentiment analysis

  Dataset Summary

One of the most important problems in e-commerce is the correct calculation of the points given to after-sales products. The solution to this problem is to provide greater customer satisfaction for the e-commerce site, product prominence for sellers, and a seamless shopping experience for buyers. Another problem is the correct ordering of the comments given to the products. The prominence of misleading… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/amazon-reviews-sentiment-analysis.

Multilingual Sentiments Dataset

A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative. Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or multiple classes of emotions. However, to an average person, sometimes positive, negative and neutral classes suffice and are more straightforward to perceive and annotate. Also, a positive/negative… See the full description on the dataset page: https://huggingface.co/datasets/tyqiangz/multilingual-sentiments.

A Sentiment Analsysis Dataset for Finetuning Large Models in Chat-style

More details can be found at https://github.com/l294265421/chat-sentiment-analysis

  Supported Tasks

Aspect Term Extraction (ATE) Opinion Term Extraction (OTE) Aspect Term-Opinion Term Pair Extraction (AOPE) Aspect term, Sentiment, Opinion term Triplet Extraction (ASOTE) Aspect Category Detection (ACD) Aspect Category-Sentiment Pair Extraction (ACSA) Aspect-Category-Opinion-Sentiment (ACOS) Quadruple… See the full description on the dataset page: https://huggingface.co/datasets/yuncongli/chat-sentiment-analysis.

Model Card for Sentiment Analysis on Financial News

  Overview

This dataset contains sentiments for financial news headlines from the perspective of a retail investor. The data is derived from the research by Malo et al. (2014), which focuses on detecting semantic orientations in economic texts.

  Dataset Details

Source: Malo, P., Sinha, A., Takala, P., Korhonen, P., and Wallenius, J. (2014). “Good debt or bad debt: Detecting semantic orientations in economic… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/financial-sentiment-analysis.

Dataset Card for cardiffnlp/tweet_sentiment_multilingual

  Dataset Summary

Tweet Sentiment Multilingual consists of sentiment analysis dataset on Twitter in 8 different lagnuages.

arabic english french german hindi italian portuguese spanish

  Supported Tasks and Leaderboards

text_classification: The dataset can be trained using a SentenceClassification model from HuggingFace transformers.

  Dataset Structure





  Data Instances

An instance from… See the full description on the dataset page: https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual.

btwitssayan/sentiment-analysis-for-mental-health dataset hosted on Hugging Face and contributed by the HF Datasets community

letijo03/sentiment-analysis-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

TweetSentimentClassification An MTEB dataset Massive Text Embedding Benchmark

A multilingual Sentiment Analysis dataset consisting of tweets in 8 different languages.

Task category t2c

Domains Social, Written

Referencehttps://aclanthology.org/2022.lrec-1.27

  How to evaluate on this task

You can evaluate an embedding model on this dataset using the following code: import mteb

task = mteb.get_tasks(["TweetSentimentClassification"]) evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/tweet_sentiment_multilingual.

Dataset Name

  Dataset Description

This dataset is based on the task 1 of the Financial Sentiment Analysis in the Wild (FiQA) challenge. It follows the same settings as described in the paper 'A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News'. The dataset is split into three subsets: train, valid, test with sizes 822, 117, 234 respectively.

  Dataset Structure

_id: ID of the data point sentence: The sentence target: The target of the… See the full description on the dataset page: https://huggingface.co/datasets/TheFinAI/fiqa-sentiment-classification.

Dataset Card for wisesight_sentiment

  Dataset Summary

Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question)

Released to public domain under Creative Commons Zero v1.0 Universal license. Labels: {"pos": 0, "neu": 1, "neg": 2, "q": 3} Size: 26,737 messages Language: Central Thai Style: Informal and conversational. With some news headlines and advertisement. Time period: Around 2016 to early 2019. With… See the full description on the dataset page: https://huggingface.co/datasets/pythainlp/wisesight_sentiment.

skibastepan/sentiment-analysis-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for climate_sentiment

  Dataset Summary

We introduce an expert-annotated dataset for classifying climate-related sentiment of climate-related paragraphs in corporate disclosures.

  Supported Tasks and Leaderboards

The dataset supports a ternary sentiment classification task of whether a given climate-related paragraph has sentiment opportunity, neutral, or risk.

  Languages

The text in the dataset is in English.

  Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/climatebert/climate_sentiment.

chillies/course-review-multilabel-sentiment-analysis dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for "imdb"

  Dataset Summary

Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.

  Supported Tasks and Leaderboards

More Information Needed

  Languages

More Information Needed

  Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/imdb.

Dataset Card for "emotion"

  Dataset Summary

Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.

  Supported Tasks and Leaderboards

More Information Needed

  Languages

More Information Needed

  Dataset Structure





  Data Instances

An example looks as follows. { "text": "im feeling quite sad and sorry for myself but… See the full description on the dataset page: https://huggingface.co/datasets/dair-ai/emotion.

sweatSmile/news-sentiment-data dataset hosted on Hugging Face and contributed by the HF Datasets community