How to write acknowledgment for graduation thesis?
The title here is just a question, and the following text will not give the answer. After all, the acknowledgment of the graduation thesis is the most difficult part to write. In my opinion, graduation thesis acknowledgments can be roughly divided into two types. One is the standard one, which lists a bunch of names and thank you. People who don’t know it may think it is the roster of the Red Flower Society. The other is unconventional, classical Chinese, poems and songs, bitterness along the way of "selling miserably", dog food, jokes + self-deprecating, all kinds of tricks emerge in endlessly, just to name a few.
In order to do this well, I was bored and downloaded a total of 205 doctoral dissertations from the Institute of Mathematics from 2010 to 2022 for reading. The acknowledgments of the brothers and sisters in our institute are relatively standard, there is nothing particularly eye-catching or "sensational", it may be rare for someone to play freely and cross the line, and was called back by the instructor to rewrite it. I have learned a lot of their thank-you routines, which are about four-character idioms at the beginning x2 lamenting that time flies, and in the middle I began to classify various thanks, and I also said that it was difficult for me to study in the past twenty years (optional). This document is for XXX, this XXX wants everything, including grandma, father and mother, second uncle, and dedicated to the selfless and dedicated workers in the earthquake.
I watched it, but I still couldn't grasp the essentials. So I decided to use python to count numbers (Why can't it be called statistics? If counting numbers is also called statistics, it is really an insult to statistics. I don't like to use parameter estimation and hypothesis testing.).
I copied the acknowledgments of these 205 articles into the txt text for later use, and removed the spaces, newlines, and strange symbols, and kept the Chinese characters. Use the jieba word segmentation tool to split the text content into words one by one, and finally make a count (I especially like counting, this is the simplest and most beautiful way of data analysis in the world).
Take a look at the result.
Quite right, the seniors and juniors are thanked a lot, the senior sisters are left behind, and the junior sisters can't be found at a glance, which is very our style. The senior sister can't protect herself, and the junior sister may take the college entrance examination next year. Teacher Yuan was thanked a lot. Is this the halo of an academician? Teacher Cao Liqun got 71 votes, it seems that the charm of personality is reflected here. Mr. Zhang Linbo got 69 votes, maybe PHG (who was thanked 37 times) had a certain contribution. Teacher Zhou Aihui is the same as 69 as the director. Teacher Zhang Wensheng 67. Teacher Cui Tao got 61 votes, and his appeal is really high. There are also Liu Xin, Chen Zhiming, Xu Zhiqiang, Yuan Li, Liu Yafeng, Leng Wei, Xu Xuejun and other teachers who are thanked in the front row.
Let's take a look at which of the non-research teachers in the institute are thanked the most. Teacher Wu Jiping ranked first with 115 votes. Teacher Ding Rujuan was the runner-up with 111 votes in total. The second runner-up, Ms. Qian Ying, got 90 votes. Teacher Yin Yonghua from the Graduate School got 89 votes, it seems that we need to make persistent efforts. The kind and beautiful teacher Liu Ying got 87 votes. Now Mr. Guan Hua, who manages student employment, has 72 votes. Teacher Shao Xin got 63 votes, which may be because she doesn't have much contact with students in recent years. There are also teachers such as Zhang Jiping and Liu Xia.
The most frightening thing is that the "teacher's wife" was thanked 49 times, that is to say, almost one out of every four people thanked the teacher's wife. I can't understand this matter. Is this loving the teacher and his wife? The contribution of the teacher and wife in our graduation thesis can be seen.
The code I use is as follows:
from wordcloud import WordCloud
#from scipy.misc import imread
from imageio import imread
import matplotlib.pyplot as plt
import jieba
# 读取文本,去除无效数字
with open("test.txt","r",encoding = 'UTF-8') as f:
txt = f.read()
re_move = ["，","。"," ",'\n','\xa0',',','、','.','！','的','了',' ','我','谢谢','致谢',' ']
for i in re_move:
txt = txt.replace(i," ")
# 分词和保存
#word = jieba.lcut(txt,cut_all=False)
word = jieba.lcut_for_search(txt)
with open("jieba_result.txt",'w',encoding='UTF-8') as file:
for i in word:
file.write(str(i)+' ')
print("中文分词完成，结果已保存！")
# 生成词云并保存词云图片
mask = imread("mask.png")
with open("jieba_result.txt","r",encoding='UTF-8') as file:
jieba_result = file.read()
word_cloud = WordCloud(background_color="white",\
width=8000,\
height=8000,
font_path='simhei.ttf',
mask=mask,
).generate(jieba_result)
word_cloud.to_file('word_cloud_file.png')
print("词云图片已保存")
plt.imshow(word_cloud)
plt.axis("off")
plt.show()
counts = {
}
for w in word:
counts[w] = counts.get(w, 0)+1
#print(counts)
It's just for fun, and I haven't dealt with the words very seriously, so don't worry about the details. The resulting word cloud is shown in the picture at the beginning. If you want the plain text acknowledgment of those 205 articles, you can send a private message.
As far as I am concerned, apart from my mentor and myself, it seems that the lack of anyone will not cause me to fail to graduate, so at one point I didn't know who to thank. Well, so this matter is still very meaningful, at least I know who to thank. For example, the teacher's wife, for example, the second uncle Biao, and Dabai who are retrograde in the haze of the epidemic. For example, thank the motherland.