Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces

arXiv: Computation and Language, Volume abs/1701.00145, 2017.

Cited by: 1|Views32
EI

Abstract:

Recent approaches for sentiment lexicon induction have capitalized on pre-trained word embeddings that capture latent semantic properties. However, embeddings obtained by optimizing performance of a given task (e.g. predicting contextual words) are sub-optimal for other applications. In this paper, we address this problem by exploiting ta...More

Code:

Data:

Get fulltext within 24h
Bibtex
Upload PDF

1.Your uploaded documents will be check within 24h, and coins will be credited to your account.

2.As the current system does not support cash withdrawal, you can add staff WeChat (AMxiaomai) to receive it as a red packet.

3.10 coins will be exchanged for 1 yuan.

?

Upload a single paper

for 5 coins

Wechat's Red Packet
?

Upload 50 articles

for 280 coins

Wechat's Red Packet
?

Upload 200 articles

for 1200 coins

Wechat's Red Packet
?

Upload 500 articles

for 3000 coins

Wechat's Red Packet
?

Upload 1000 articles

for 7000 coins

Wechat's Red Packet
Your rating :
0

 

Tags
Comments