NLP tool to extract emotional phrase from tweets 🤩

Related tags

Text Data & NLPnlpdockerextractionsentimentpytorchhuggingface
Overview

Emotional phrase extractor

Extract phrase in the given text that is used to express the sentiment. Capturing sentiment in language is important in these times where decisions and reactions are created and updated in seconds. But, which words actually lead to the sentiment description? This project aims to solve this problem.

Powered using Pytorch + hugggingface 🤗

Try it out.

git clone https://github.com/shahules786/twitter-emotions.git

cd twitter-emotions

sudo docker build --tag twitter-emotions:api .

sudo docker run -p 9999:9999  -it twitter-emotions:api python twitteremotions/app.py

Server will start running on port 9999 of localhost

Example

Installation for development

git clone https://github.com/shahules786/twitter-emotions.git

cd twitter-emotions

pip install -r requirements.txt

Train Model on your data

from twitteremotions.emotions import TwitterEmotions
emotions = TwitterEmotions()
emotions.train(train_path="data/train.csv", epochs=10, batch_size=32, max_len=168, test_size=0.25)

Contributing

All contrbutions are welcome 👋

You might also like...
HuggingTweets - Train a model to generate tweets
HuggingTweets - Train a model to generate tweets

HuggingTweets - Train a model to generate tweets Create in 5 minutes a tweet generator based on your favorite Tweeter Make my own model with the demo

Boris Dayma 318 Jan 4, 2023
Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.

Colibri Core by Maarten van Gompel, [email protected], Radboud University Nijmegen Licensed under GPLv3 (See http://www.gnu.org/licenses/gpl-3.0.html

Maarten van Gompel 122 Nov 17, 2022
Python bindings to the dutch NLP tool Frog (pos tagger, lemmatiser, NER tagger, morphological analysis, shallow parser, dependency parser)

Frog for Python This is a Python binding to the Natural Language Processing suite Frog. Frog is intended for Dutch and performs part-of-speech tagging

Maarten van Gompel 46 Dec 14, 2022
The tool to make NLP datasets ready to use
The tool to make NLP datasets ready to use

chazutsu photo from Kaikado, traditional Japanese chazutsu maker chazutsu is the dataset downloader for NLP. import chazutsu r = chazutsu.data

chakki 243 Dec 29, 2022
Snips Python library to extract meaning from text
Snips Python library to extract meaning from text

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

Snips 3.7k Dec 30, 2022
Search for documents in a domain through Google. The objective is to extract metadata

MetaFinder - Metadata search through Google _____ __ ___________ .__ .___ / \

Josué Encinar 85 Dec 16, 2022
Extract Keywords from sentence or Replace keywords in sentences.
Extract Keywords from sentence or Replace keywords in sentences.

FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install

Vikash Singh 5.3k Jan 1, 2023
Snips Python library to extract meaning from text
Snips Python library to extract meaning from text

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

Snips 3.5k Feb 12, 2021
Textpipe: clean and extract metadata from text
Textpipe: clean and extract metadata from text

textpipe: clean and extract metadata from text textpipe is a Python package for converting raw text in to clean, readable text and extracting metadata

Textpipe 298 Nov 21, 2022
Comments
  • avoid confusion : end_tokens instead of start_tokens

    avoid confusion : end_tokens instead of start_tokens

    Avoid Confusion

    Replace start_tokens with end_tokens for the fourth argument to calculate the loss function to avoid confusion :)

    While reviewing your amazing project, I noticed that the EmotionData class of the dataloader.py file is returning:

    {
    ...
   # start_tokens
   "start_tokens": torch.tensor(start_tokens, dtype=torch.long),
   # end_tokens
   "end_tokens": torch.tensor(end_tokens, dtype=torch.long),
}

    But in the engine.py file you are passing start_tokens for both the third and fourth arguments of the loss_fn():

    loss = loss_fn(
            start, end, torch.argmax(data["start_tokens"], axis=1), torch.argmax(data["start_tokens"], axis=1)
        )

    But the fourth has to be end_tokens. This minor change will not affect the loss_fn() output function since they are equal in all cases [=1].But, to respect conventions and avoid confusion, it would be better if it looks like the one shown below on the right:

    image

    opened by zekaouinoureddine 0
Releases(v1.0.0)
Owner
Shahul ES
Data Scientist | Kaggle GrandMaster ( Rank 20) | Opensource @mljar
Shahul ES
GitHub Repository
History Aware Multimodal Transformer for Vision-and-Language Navigation

History Aware Multimodal Transformer for Vision-and-Language Navigation This repository is the official implementation of History Aware Multimodal Tra

Shizhe Chen 46 Nov 23, 2022
Smart discord chatbot integrated with Dialogflow to manage different classrooms and assist in teaching!

smart-school-chatbot Smart discord chatbot integrated with Dialogflow to interact with students naturally and manage different classes in a school. De

Tom Huynh 5 Oct 24, 2022
Contains descriptions and code of the mini-projects developed in various programming languages

TexttoSpeechAndLanguageTranslator-project introduction A pleasant application where the client will be given buttons like play,reset and exit. The cli

Adarsh Reddy 1 Dec 22, 2021
DiY Oxygen Concentrator based on the OxiKit

M19O2 DiY Oxygen Concentrator based on / inspired by the OxiKit, OpenOx, Marut, RepRap and Project Apollo platforms. About Read about the project on H

Maker's Asylum 62 Dec 22, 2022
KoBERT - Korean BERT pre-trained cased (KoBERT)

KoBERT KoBERT Korean BERT pre-trained cased (KoBERT) Why'?' Training Environment Requirements How to install How to use Using with PyTorch Using with

SK T-Brain 1k Jan 02, 2023
Just a basic Telegram AI chat bot written in Python using Pyrogram.

Nikko ChatBot Just a basic Telegram AI chat bot written in Python using Pyrogram. Requirements Python 3.7 or higher. A bot token. Installation $ https

ʀᴇxɪɴᴀᴢᴏʀ 2 Oct 21, 2022
spaCy plugin for Transformers , Udify, ELmo, etc.

Camphr - spaCy plugin for Transformers, Udify, Elmo, etc. Camphr is a Natural Language Processing library that helps in seamless integration for a wid

342 Nov 21, 2022
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.

Word2Wave is a simple method for text-controlled GAN audio generation. You can either follow the setup instructions below and use the source code and CLI provided in this repo or you can have a play

Ilaria Manco 91 Dec 23, 2022
Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models

PEGASUS library Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models, or PEGASUS, uses self-supervised

Google Research 1.4k Dec 22, 2022
Blue Brain text mining toolbox for semantic search and structured information extraction

Blue Brain Search Source Code DOI Data & Models DOI Documentation Latest Release Python Versions License Build Status Static Typing Code Style Securit

The Blue Brain Project 29 Dec 01, 2022
A design of MIDI language for music generation task, specifically for Natural Language Processing (NLP) models.

MIDI Language Introduction Reference Paper: Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions: code This

Robert Bogan Kang 3 May 25, 2022
Long text token classification using LongFormer

Long text token classification using LongFormer

abhishek thakur 161 Aug 07, 2022
Must-read papers on improving efficiency for pre-trained language models.

Must-read papers on improving efficiency for pre-trained language models.

Tobias Lee 89 Jan 03, 2023
Fine-tuning scripts for evaluating transformer-based models on KLEJ benchmark.

The KLEJ Benchmark Baselines The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language und

Allegro Tech 17 Oct 18, 2022
Code for "Generative adversarial networks for reconstructing natural images from brain activity".

Reconstruct handwritten characters from brains using GANs Example code for the paper "Generative adversarial networks for reconstructing natural image

K. Seeliger 2 May 17, 2022
A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

Crosslingual Coreference Coreference is amazing but the data required for training a model is very scarce. In our case, the available training for non

Pandora Intelligence 71 Jan 04, 2023
Yet another Python binding for fastText

pyfasttext Warning! pyfasttext is no longer maintained: use the official Python binding from the fastText repository: https://github.com/facebookresea

Vincent Rasneur 230 Nov 16, 2022
🕹 An esoteric language designed so that the program looks like the transcript of a Pokémon battle

PokéBattle is an esoteric language designed so that the program looks like the transcript of a Pokémon battle. Original inspiration and specification

Eduardo Correia 9 Jan 11, 2022
Easy-to-use CPM for Chinese text generation

CPM 项目描述 CPM（Chinese Pretrained Models）模型是北京智源人工智能研究院和清华大学发布的中文大规模预训练模型。官方发布了三种规模的模型，参数量分别为109M、334M、2.6B，用户需申请与通过审核，方可下载。 由于原项目需要考虑大模型的训练和使用，需要安装较为复杂

382 Jan 07, 2023
A BERT-based reverse-dictionary of Korean proverbs

Wisdomify A BERT-based reverse-dictionary of Korean proverbs. 김유빈 : 모델링 / 데이터 수집 / 프로젝트 설계 / back-end 김종윤 : 데이터 수집 / 프로젝트 설계 / front-end Quick Start C

Eu-Bin KIM 94 Dec 08, 2022