Questions tagged [sentiment-analysis]

For questions about sentiment analysis in AI.

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What are the most used and effective activation functions for sentiment classification with an recurrent neural network?

I am making an RNN for sentiment classification. What activation functions would you use in order to achieve this goal (excluding the one present in the output layer)?
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1answer
34 views

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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1answer
132 views

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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1answer
58 views

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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1answer
57 views

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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15 views

Adding BERT embeddings in BiLSTM embedding layer

I am want to use BERT embeddings in the BiLSTM embedding layer instead of Word2Vec or FastText Embeddings. There is any code to do that?
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1answer
32 views

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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1answer
33 views

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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1answer
64 views

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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20 views

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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1answer
28 views

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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31 views

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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92 views

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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46 views

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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22 views

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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1answer
47 views

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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3answers
170 views

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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2answers
49 views

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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1answer
48 views

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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0answers
38 views

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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42 views

Searching for dataset in specifix context for NLP, sentiment analysis

I would like to create an NPC engine for games that are in a fantasy context like Lord of the Rings, Warcraft, Skyrim, Dragon Age, etc. This engine should be able to determine the polarity of the ...
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1answer
2k views

How do I calculate the gradient of the hinge loss function?

With reference to the research paper entitled Sentiment Embeddings with Applications to Sentiment Analysis, I am trying to implement its sentiment ranking model in Python, for which I am required to ...
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3answers
643 views

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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1answer
37 views

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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1answer
3k views

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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63 views

How to train LSTM score prediction with very little data? (Bounty to be added)

I am trying to make a text score prediction network, and my dataset have 500 samples only. I know there is a public dataset called the ASAP Dataset. I have tested my model ...
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1answer
64 views

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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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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244 views

How To Improve This Sentiment Analysis Model

A.I Community, this is my first post on here I am currently reading, learning and designing models. At the moment I'm working on this sentiment analysis tool; from what I gather sentiment analysis can ...