Jeremy Barnes (@jerbarnes)
  • Stars
    star
    249
  • Global Rank 103,443 (Top 4 %)
  • Followers 44
  • Following 5
  • Registered over 8 years ago
  • Most used languages
    Python
    72.2 %
    Roff
    5.6 %
    TeX
    5.6 %
  • Location 🇳🇴 Norway
  • Country Total Rank 492
  • Country Ranking
    Roff
    12
    TeX
    71
    Python
    85

Top repositories

1

semeval22_structured_sentiment

SemEval-2022 Shared Task 10: Structured Sentiment Analysis
Python
71
star
2

sentiment_graphs

Graph parsing approach to structured sentiment analysis.
Python
38
star
3

sota_sentiment

State-of-the-art model evaluation
Python
37
star
4

blse

Joint Bilingual Sentiment Embeddings and Classifier
Python
30
star
5

domain_blse

Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment in Diverse Domains
Python
16
star
6

direct_parsing_to_sent_graph

Python
13
star
7

finegrained_data

Python
10
star
8

multitask_negation_for_targeted_sentiment

Multi-task learning of negation/speculation for Targeted Sentiment
Jupyter Notebook
8
star
9

nordial

NorDial is a project that aims to create resources and collect knowledge about the state of written Norwegian dialects on the web, specifically in social media.
Jupyter Notebook
8
star
10

crosslingual_reordering

Reordering for embedding-based cross-lingual sentiment analysis
TeX
4
star
11

targeted_blse

Targeted Cross-lingual Sentiment Analysis via Embedding Projection
Python
4
star
12

fine-grained_cross-lingual_emotion

Irean's Master's Thesis: Testing cross-lingual approaches to fine-grained emotion detection
Python
3
star
13

zero_shot_crosslingual_sentiment_analysis

Python
2
star
14

multibooked

Basque and Catalan Aspect-level Annotated Hotel Reviews
Python
2
star
15

ssec_models

Multi-Label Reannotation of the SemEval 2016 Stance Detection Data with Fine-Grained Emotions
Roff
2
star
16

typology_of_crosslingual

Jupyter Notebook
2
star
17

finegrained_datasets

Python
1
star
18

neges_2019

Hierarchical Multi-task model for incorporating negation information for document-level sentiment in Spanish
Python
1
star
19

sentiment_resources

1
star