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Twitter Sentiment Analysis

4 papers with code ยท Natural Language Processing
Subtask of Sentiment Analysis

Twitter sentiment analysis is the task of performing sentiment analysis on tweets from Twitter.

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Latest papers without code

A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency

18 Mar 2020

A novel social networks sentiment analysis model is proposed based on Twitter sentiment score (TSS) for real-time prediction of the future stock market price FTSE 100, as compared with conventional econometric models of investor sentiment based on closed-end fund discount (CEFD).

DECISION MAKING TWITTER SENTIMENT ANALYSIS

Twitter Sentiment Analysis using Distributed Word and Sentence Representation

1 Apr 2019

The posts or tweets from this data can be used for mining people's opinions.

TWITTER SENTIMENT ANALYSIS

Offensive Language Analysis using Deep Learning Architecture

12 Mar 2019

Once we are happy with the quality of our input data, we proceed to choosing the optimal deep learning architecture for this task.

TWITTER SENTIMENT ANALYSIS

Twitter Sentiment Analysis System

20 Jul 2018

Social media is increasingly used by humans to express their feelings and opinions in the form of short text messages.

TWITTER SENTIMENT ANALYSIS

Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM

20 Jul 2018

Sentiment analysis on large-scale social media data is important to bridge the gaps between social media contents and real world activities including political election prediction, individual and public emotional status monitoring and analysis, and so on.

TWITTER SENTIMENT ANALYSIS

Causality Analysis of Twitter Sentiments and Stock Market Returns

WS 2018

Sentiment analysis is the process of identifying the opinion expressed in text.

TWITTER SENTIMENT ANALYSIS

Sentiment Analysis: It's Complicated!

NAACL 2018

In datasets constructed for the purpose of Twitter sentiment analysis (TSA), these controversial examples can compose over 30{\%} of the originally annotated data.

TWITTER SENTIMENT ANALYSIS