Questions tagged [sentiment-analysis]
For questions about sentiment analysis in AI.
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GPT beam search length (number of tokens)
Background: I'm currently trying to use GPT to give me numerical scores, and looking for tips on prompt design, see my previous StackExchange post.
To craft good prompts it seems important to have a ...
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How to tokenize compound sentences based on the conjunctions?
I am trying to tokenize sentences of a document for aspect-based sentiment analysis. There are some sentences that consist of more than one topic. For example,
The touch screen is good but the ...
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Is there something like person-specific sentiment analysis?
Sentiment analysis, as we know, measures "Cake sucks" as say -0.4, and "Cake is great" as 0.7.
What I'm looking for is something a bit different like so:
Given input text data ...
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Is it ok to have an accuracy of 65% and a sensitivity of 90% with Naive Bayes for sentiment analysis?
I am creating a sentiment analysis model using Naive Bayes. When I test the model, I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%.
So, I am wondering if ...
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How to train a sequence labeling model with annotations from three annotators?
I have a dataset of movie reviews annotated by 3 persons. The following example contains one sentence with corresponding annotations from 3 different persons.
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Can Facebook's LASER be used like BERT?
Can Facebook's LASER be fine-tuned like BERT for Question Answering tasks or Sentiment Analysis?
From my understanding, they created an embedding that allows for similar words in different languages ...
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Given the word embeddings, how do I create the sentence composed of the corresponding words?
I have done some reading. I want to implement an LSTM with pre-trained word embeddings (I also have plans to create my word embeddings, but let's cross that bridge when we come to it).
In any given ...
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Sentiment analysis does not handle neturals [closed]
I'm writing some financial tools, I've found highly performant models for question and answering but when it comes to sentiment analysis I haven't found anything that good. I'm trying to use ...
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How can I apply naive Bayes classifier for three classes (Positive, Negative and Neutral) in text data?
I found a naive Bayes classifier for positive sentiment or a negative sentiment Citius: A Naive-Bayes Strategy for Sentiment Analysis on English Tweets. But with most available datasets online, ...
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How to keep track of the subject/entity in a sentence?
I'm working on Sentiment Analysis, using HuggingFace to perform sentiment analysis on articles
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Is using a LSTM, CNN or any other neural network model on top of a Transformer(using hidden states) overkill?
I have recently come across transformers, I am new to Deep Learning. I have seen a paper using CNN and BiLSTM on top of a transformer, the paper uses a transformer(XLM-R) for sentiment analysis in ...
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What is the best approach for sentiment analysis when the text is very brief?
I'm working on a project to do sentiment analysis but my data is not long and properly formatted text. It's more likely to be very short sentences, e.g. tweets (in full tweet lingo), quick reviews of ...
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How can I find words in a string that are related to a given word, then associate a sentiment to that found word?
I came up with an NLP-related problem where I have a list of words and a string. My goal is to find any word in the list of words that is related to the given string.
Here is an example.
Suppose a ...
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Why is an embedding of dimension 400 enough to represent 70000 words?
I am learning PyTorch on Udacity. In lesson 8, section 11: Training the Model, the instructor writes:
Then I have my embedding and hidden dimension. The embedding dimension is just a smaller ...
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Bert for Sentiment Analysis - Connecting final output back to the input
I have not found a lot of information on this, but I am wondering if there is a standard way to apply the outputs of a Bert model being used for sentiment analysis, and connect them back to the ...
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How do RNN's for sentiment classification deal with different sentence lengths?
I have been doing a course which teaches you about Deep Neural Networks, during one of the exercises I was made to make an RNN for sentiment classification which I did, but I did not understand how an ...
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What are some good papers or resources for aspect extraction and opinion modelling from video or audio?
I am quite new to deep learning. I just finished the deep learning specialization by Professor Andrew NG and Deep Learning AI. Now, my professor (instructor) has advised me to look into some classic ...
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Should I be balancing the data before creating the vocab-to-index dictionary?
My question is about when to balance training data for sentiment analysis.
Upon evaluating my training dataset, which has 3 labels (good, bad, neutral), I noticed there were twice as many neutral ...
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What is the appropriate RNN structure to do Sentiment Analysis with multiple dependent ratings?
Suppose we are doing sentiment analysis for a restaurant. Customers can rate the restaurant by #1: how expensive the restaurant is, #2:how good is the food and #3: how likely they will come again. The ...
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What is the most accurate pretrained sentiment analysis model by 2019?
I've been using OpenAI's 2017 Sentiment Neuron implementation (https://github.com/openai/generating-reviews-discovering-sentiment) for a while, because it was easy to set up and was the most accurate ...
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What is the difference between Sentiment Analysis and Emotion Recognition?
I found Sentiment Analysis and Emotion Recognition as two different categories on paperswithcode.com. Should both be the same as my understanding? If not what's the difference?
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What would be the steps to create an sentiment analysis chatbot?
We have been assigned a project, in which we have to create a chatbot which will ask question, take the replies, analyse them and give an approximate assessment of the current emotional state of the ...
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Is there any research on the identification of a person's feelings using features such as facial expressions or body temperature?
People could be sad, happy, depressive, angry, nervous, calm, relaxed, bored, etc. I don't know how to express all of these feelings and emotions in English terms (I'm not an English native speaker), ...
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VIsual/musical/multimedia discourse (analysis) - are there such notions?
Formal semantics of natural language perceives sentences as logical expressions. Full paragraphs and even stories of natural language texts are researched and formalized using discourse analysis (...
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Integration of Sentiment analysis in CRM
What is the process for integrating sentiment analysis in a CRM? What I am searching for is a system which analyzes the customer comments or reviews using the CRM and finds out the customer sentiment ...
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Recommended Modelling Technique for Influencer Marketing Scenario
I have an approximately 90,000 row dataset that has information of social media profiles which has columns for biography, follower count, language spoken, name, username and the label (to identify ...
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Can we detect the emotions (or feelings) of a human through conversations with an AI?
Can we detect the emotions (or feelings) of a human through conversations with an AI?
Something like a "confessional", disregarding human possibilities to lie.
Below, I have the categories ...
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